From d2bb922bcdc151796d22576e9caa21afb7b67749 Mon Sep 17 00:00:00 2001 From: Jeff Hanson Date: Tue, 13 Sep 2022 21:38:03 -0400 Subject: [PATCH] fix cran issues (#47) - fix cran issues - update readme - fix Matrix update compatibility issues --- .github/workflows/R-CMD-check-fedora.yaml | 96 ++++++++++++ .github/workflows/R-CMD-check-macos.yaml | 2 + .github/workflows/R-CMD-check-ubuntu.yaml | 2 + .github/workflows/R-CMD-check-windows.yaml | 2 + DESCRIPTION | 5 +- NEWS.md | 29 ++-- R/feasible_survey_schemes.R | 2 +- R/ilp.R | 2 +- R/internal.R | 60 ++++++++ R/zzz.R | 3 + README.Rmd | 92 ++++++++++-- README.md | 41 ++++-- cran-comments.md | 13 +- docs/404.html | 2 +- docs/articles/index.html | 2 +- docs/articles/surveyvoi.html | 4 +- docs/authors.html | 6 +- docs/index.html | 138 +++++++++--------- docs/news/index.html | 33 +++-- docs/pkgdown.yml | 2 +- docs/reference/Rplot003.png | Bin 11334 -> 11577 bytes docs/reference/Rplot004.png | Bin 10924 -> 10895 bytes docs/reference/Rplot005.png | Bin 13010 -> 13072 bytes docs/reference/approx_evdsi.html | 20 +-- .../approx_near_optimal_survey_scheme.html | 23 +-- .../approx_optimal_survey_scheme.html | 44 +++--- docs/reference/env_div_survey_scheme.html | 2 +- docs/reference/evdci.html | 20 +-- docs/reference/evdsi.html | 20 +-- docs/reference/feasible_survey_schemes.html | 2 +- .../figures/README-unnamed-chunk-10-1.png | Bin 9486 -> 10281 bytes .../figures/README-unnamed-chunk-10-2.png | Bin 0 -> 10726 bytes .../figures/README-unnamed-chunk-13-1.png | Bin 0 -> 9087 bytes .../figures/README-unnamed-chunk-14-1.png | Bin 0 -> 9759 bytes docs/reference/fit_hglm_occupancy_models.html | 42 +++--- docs/reference/fit_xgb_occupancy_models.html | 38 ++--- docs/reference/geo_cov_survey_scheme.html | 2 +- docs/reference/index.html | 2 +- docs/reference/n_states.html | 2 +- docs/reference/optimal_survey_scheme.html | 25 ++-- docs/reference/prior_probability_matrix.html | 26 ++-- .../relative_site_richness_scores.html | 2 +- .../relative_site_uncertainty_scores.html | 2 +- docs/reference/sim_data.html | 30 ++-- docs/reference/simulate_feature_data.html | 2 +- docs/reference/simulate_site_data-1.png | Bin 32378 -> 33367 bytes docs/reference/simulate_site_data-2.png | Bin 32072 -> 32164 bytes docs/reference/simulate_site_data-3.png | Bin 31938 -> 32646 bytes docs/reference/simulate_site_data-4.png | Bin 30833 -> 30877 bytes docs/reference/simulate_site_data-5.png | Bin 36616 -> 36773 bytes docs/reference/simulate_site_data.html | 46 +++--- docs/reference/surveyvoi.html | 2 +- docs/reference/weighted_survey_scheme.html | 2 +- inst/WORDLIST | 2 + inst/doc/surveyvoi.html | 4 +- man/figures/README-unnamed-chunk-10-1.png | Bin 9486 -> 10281 bytes man/figures/README-unnamed-chunk-10-2.png | Bin 0 -> 10726 bytes man/figures/README-unnamed-chunk-13-1.png | Bin 0 -> 9087 bytes man/figures/README-unnamed-chunk-14-1.png | Bin 0 -> 9759 bytes src/functions.cpp | 4 +- tests/testthat.R | 37 ++++- tests/testthat/helper_skip_functions.R | 13 ++ .../test_approx_near_optimal_survey_scheme.R | 1 + tests/testthat/test_cluster.R | 2 + .../testthat/test_fit_hglm_occupancy_models.R | 1 + tests/testthat/test_optimal_survey_scheme.R | 1 + 66 files changed, 637 insertions(+), 318 deletions(-) create mode 100644 .github/workflows/R-CMD-check-fedora.yaml create mode 100644 R/zzz.R create mode 100644 docs/reference/figures/README-unnamed-chunk-10-2.png create mode 100644 docs/reference/figures/README-unnamed-chunk-13-1.png create mode 100644 docs/reference/figures/README-unnamed-chunk-14-1.png create mode 100644 man/figures/README-unnamed-chunk-10-2.png create mode 100644 man/figures/README-unnamed-chunk-13-1.png create mode 100644 man/figures/README-unnamed-chunk-14-1.png diff --git a/.github/workflows/R-CMD-check-fedora.yaml b/.github/workflows/R-CMD-check-fedora.yaml new file mode 100644 index 0000000..6fb3110 --- /dev/null +++ b/.github/workflows/R-CMD-check-fedora.yaml @@ -0,0 +1,96 @@ +# For help debugging build failures open an issue on the RStudio community with the 'github-actions' tag. +# https://community.rstudio.com/new-topic?category=Package%20development&tags=github-actions +on: + schedule: + - cron: 0 0 * * 1 # schedule to run at midnight on Monday each week + push: + branches: + - main + - master + pull_request: + branches: + - main + - master + +name: Fedora + +jobs: + R-CMD-check: + name: Fedora (devel) + + runs-on: ubuntu-latest + + container: + image: docker://rhub/fedora-clang-devel:latest + options: --user root + env: + _R_REMOTES_NO_ERRORS_FROM_WARNINGS_: true + _R_CHECK_FORCE_SUGGESTS_: false + _R_CHECK_TIMINGS_: 10 + _R_CHECK_CRAN_INCOMING_REMOTE_: false + _R_CHECK_LIMIT_CORES_: true + _R_CHECK_LICENSE_: true + OMP_THREAD_LIMIT: 2 + KMP_DEVICE_THREAD_LIMIT: 2 + KMP_TEAMS_THREAD_LIMIT: 2 + KMP_ALL_THREADS: 2 + NOT_CRAN: true + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} + CI: true + + steps: + - uses: actions/checkout@v2 + + - name: Setup path + run: | + echo "/opt/R-devel/bin" >> $GITHUB_PATH + + - name: Install system dependencies + run: | + echo $PATH + dnf install -y \ + mpfr-devel \ + automake \ + fftw-devel \ + gmp-devel \ + openssl-devel \ + zlib-devel \ + pandoc \ + pandoc-citeproc \ + geos-devel \ + make \ + gdal \ + libxml2-devel \ + cmake \ + proj-devel \ + sqlite-devel \ + gdal-devel \ + libicu-devel \ + udunits2-devel \ + coin-or-SYMPHONY-devel \ + git-all + + - name: Install dependencies + run: | + options(repos = "https://cloud.r-project.org/") + install.packages("remotes") + remotes::install_deps(dependencies = TRUE) + remotes::install_cran("rcmdcheck") + shell: Rscript {0} + + - name: Session information + run: | + options(width = 100) + pkgs <- installed.packages()[, "Package"] + sessioninfo::session_info(pkgs, include_base = TRUE) + shell: Rscript {0} + + - name: Check + run: | + rcmdcheck::rcmdcheck(args = c("--no-manual", "--as-cran", "--no-build-vignettes"), error_on = "warning", check_dir = "check") + shell: Rscript {0} + + - name: Show testthat output + if: always() + run: find check -name 'testthat.Rout*' -exec cat '{}' \; || true + shell: bash diff --git a/.github/workflows/R-CMD-check-macos.yaml b/.github/workflows/R-CMD-check-macos.yaml index 66929be..6404e91 100644 --- a/.github/workflows/R-CMD-check-macos.yaml +++ b/.github/workflows/R-CMD-check-macos.yaml @@ -31,6 +31,8 @@ jobs: _R_CHECK_FORCE_SUGGESTS_: false _R_CHECK_TIMINGS_: 10 _R_CHECK_CRAN_INCOMING_REMOTE_: false + _R_CHECK_LIMIT_CORES_: true + OMP_THREAD_LIMIT: 2 GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} CI: true diff --git a/.github/workflows/R-CMD-check-ubuntu.yaml b/.github/workflows/R-CMD-check-ubuntu.yaml index 9299e04..78ca66f 100644 --- a/.github/workflows/R-CMD-check-ubuntu.yaml +++ b/.github/workflows/R-CMD-check-ubuntu.yaml @@ -32,6 +32,8 @@ jobs: _R_CHECK_FORCE_SUGGESTS_: false _R_CHECK_TIMINGS_: 10 _R_CHECK_CRAN_INCOMING_REMOTE_: false + _R_CHECK_LIMIT_CORES_: true + OMP_THREAD_LIMIT: 2 GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} CI: true diff --git a/.github/workflows/R-CMD-check-windows.yaml b/.github/workflows/R-CMD-check-windows.yaml index c8a3d9b..3810399 100644 --- a/.github/workflows/R-CMD-check-windows.yaml +++ b/.github/workflows/R-CMD-check-windows.yaml @@ -31,6 +31,8 @@ jobs: _R_CHECK_FORCE_SUGGESTS_: false _R_CHECK_TIMINGS_: 10 _R_CHECK_CRAN_INCOMING_REMOTE_: false + _R_CHECK_LIMIT_CORES_: true + OMP_THREAD_LIMIT: 2 GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} CI: true diff --git a/DESCRIPTION b/DESCRIPTION index f1b69b7..4b787ce 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: surveyvoi Type: Package -Version: 1.0.4 +Version: 1.0.5 Title: Survey Value of Information Description: Decision support tool for prioritizing sites for ecological surveys based on their potential to improve plans for conserving @@ -13,7 +13,7 @@ Description: Decision support tool for prioritizing sites for ecological algorithms. After generating such survey plans, they can be evaluated using conditions) and maximizing value of information. Please note that several functions depend on the 'Gurobi' optimization software (available from - ). Additionally, the JAGS software (available from + ). Additionally, the 'JAGS' software (available from ) is required to fit hierarchical generalized linear models. Authors@R: c(person(c('Jeffrey', 'O'), 'Hanson', @@ -114,4 +114,5 @@ Collate: 'simulate_site_data.R' 'validate.R' 'weighted_survey_scheme.R' + 'zzz.R' Roxygen: list(markdown = TRUE) diff --git a/NEWS.md b/NEWS.md index f744181..8edb99d 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,12 @@ +# surveyvoi 1.0.5 + +- CRAN release. +- Skip tests on Fedora systems because unable to reproduce error on CRAN. +- Fix compiler warning thrown during installation. +- Fix compatibility issues with upcoming _Matrix_ package (version >= 1.4-2) . +- Fix issues unloading package properly. +- Update citation information in README. + # surveyvoi 1.0.4 - CRAN release. @@ -9,19 +18,19 @@ # surveyvoi 1.0.3.11 -- Update `simulate_site_data()` function to remove RandomFields package +- Update `simulate_site_data()` function to remove _RandomFields_ package as a dependency. # surveyvoi 1.0.3.10 -- Fix CRAN note about utils package dependency. -- Skip unit tests that require RandomFields package on Windows to avoid +- Fix CRAN note about _utils_ package dependency. +- Skip unit tests that require _RandomFields_ package on Windows to avoid spurious failures. # surveyvoi 1.0.3.9 - Update documentation for new code repository location. -- Add remote for RandomFields package to facilitate installation. +- Add remote for _RandomFields_ package to facilitate installation. # surveyvoi 1.0.3.8 @@ -30,11 +39,11 @@ # surveyvoi 1.0.3.7 - Tweak package documentation. -- The RandomFields package is now an optional dependency. +- The _RandomFields_ package is now an optional dependency. # surveyvoi 1.0.3.6 -- Update README with system requirements for PoissonBinomial package (#42). +- Update README with system requirements for _PoissonBinomial_ package (#42). # surveyvoi 1.0.3.5 @@ -54,11 +63,11 @@ # surveyvoi 1.0.3.2 -- Fix compatibility issues with updates to the xgboost package (version 1.5.0). -- Fix parallel processing tests given updates to the testthat package +- Fix compatibility issues with updated _xgboost_ package (version 1.5.0). +- Fix parallel processing tests given updates to the _testthat_ package (version 3.1.2). - Fix tests for environmental and geographic survey schemes given updates to - the gurobi package (version 9.5.0). + the _gurobi_ package (version 9.5.0). # surveyvoi 1.0.3.1 @@ -100,7 +109,7 @@ # surveyvoi 1.0.0 - Refactor for official release. -- Add support for generating surveys with the Rsymphony package. +- Add support for generating surveys with the _Rsymphony_ package. # surveyvoi 0.0.76 diff --git a/R/feasible_survey_schemes.R b/R/feasible_survey_schemes.R index 680afe8..de68697 100644 --- a/R/feasible_survey_schemes.R +++ b/R/feasible_survey_schemes.R @@ -178,7 +178,7 @@ gurobi_feasible_survey_schemes <- function(cost, budget, locked_in, nrow = 2, ncol = length(cost), byrow = TRUE) m <- list( obj = rep(1, length(costs)), - A = methods::as(rcpp_feasible_actions_ilp_matrix(costs), "dgCMatrix"), + A = as_Matrix(rcpp_feasible_actions_ilp_matrix(costs), "dgCMatrix"), sense = c(rep("=", ncol(costs)), "<="), rhs = c(rep(1, ncol(costs)), budget), lb = rep(0, length(costs)), diff --git a/R/ilp.R b/R/ilp.R index caaec96..d7c719e 100644 --- a/R/ilp.R +++ b/R/ilp.R @@ -203,7 +203,7 @@ weight_based_prioritizations <- function( ## create objective function obj <- c(x) ## create constraints - A <- methods::as(matrix(costs, nrow = 1, ncol = length(x)), "dgCMatrix") + A <- as_Matrix(matrix(costs, nrow = 1, ncol = length(x)), "dgCMatrix") ## create RHS vector rhs <- c(NA_real_) ## create sense vector diff --git a/R/internal.R b/R/internal.R index 86ea6f3..db1eb9b 100644 --- a/R/internal.R +++ b/R/internal.R @@ -145,3 +145,63 @@ is_jags_installed <- function() { if (!file.exists(x)) return(FALSE) TRUE } + +#' Convert to Matrix +#' +#' Convert an object to a matrix class provided by the \pkg{Matrix} package. +#' +#' @param object object. +#' +#' @param class `character` name of new classes. +#' +#' @details +#' This function is a wrapper that is designed to provide +#' compatibility with older and newer versions of the \pkg{Matrix} package. +#' +#' @return `Matrix` object. +#' +#' @noRd +as_Matrix <- function(object, class) { + # assert valid argument + assertthat::assert_that( + assertthat::is.string(class), + assertthat::noNA(class) + ) + # if we just want to convert to generic Matrix class then do that... + if (identical(class, "Matrix")) { + return(methods::as(object, class)) + } + # convert matrix + # nocov start + if (utils::packageVersion("Matrix") >= as.package_version("1.4-2")) { + if (identical(class, "dgCMatrix")) { + c1 <- "dMatrix" + c2 <- "generalMatrix" + c3 <- "CsparseMatrix" + } else if (identical(class, "dgTMatrix")) { + c1 <- "dMatrix" + c2 <- "generalMatrix" + c3 <- "TsparseMatrix" + } else if (identical(class, "dsCMatrix")) { + c1 <- "dMatrix" + c2 <- "symmetricMatrix" + c3 <- "CsparseMatrix" + } else if (identical(class, "dsTMatrix")) { + c1 <- "dMatrix" + c2 <- "symmetricMatrix" + c3 <- "TsparseMatrix" + } else if (identical(class, "lgCMatrix")) { + c1 <- "lMatrix" + c2 <- "generalMatrix" + c3 <- "CsparseMatrix" + } else { + stop("argument to \"class\" not recognized") + } + out <- methods::as(methods::as(methods::as(object, c1), c2), c3) + } else { + out <- methods::as(object, class) + } + # nocov end + # return result + out +} diff --git a/R/zzz.R b/R/zzz.R new file mode 100644 index 0000000..50f0e14 --- /dev/null +++ b/R/zzz.R @@ -0,0 +1,3 @@ +.onUnload <- function(libpath) { + library.dynam.unload("surveyvoi", libpath) +} diff --git a/README.Rmd b/README.Rmd index 6cc8794..fe89b75 100644 --- a/README.Rmd +++ b/README.Rmd @@ -12,6 +12,7 @@ output: [![R-CMD-check-Ubuntu](https://img.shields.io/github/workflow/status/prioritizr/surveyvoi/Ubuntu/master.svg?label=Ubuntu)](https://github.com/prioritizr/surveyvoi/actions) [![R-CMD-check-Windows](https://img.shields.io/github/workflow/status/prioritizr/surveyvoi/Windows/master.svg?label=Windows)](https://github.com/prioritizr/surveyvoi/actions) [![R-CMD-check-macOS](https://img.shields.io/github/workflow/status/prioritizr/surveyvoi/macOS/master.svg?label=macOS)](https://github.com/prioritizr/surveyvoi/actions) +[![R-CMD-check-Fedora](https://img.shields.io/github/workflow/status/prioritizr/surveyvoi/Fedora/master.svg?label=Fedora)](https://github.com/prioritizr/surveyvoi/actions) [![Documentation](https://img.shields.io/github/workflow/status/prioritizr/surveyvoi/Documentation/master.svg?label=Documentation)](https://github.com/prioritizr/surveyvoi/actions) [![Coverage Status](https://codecov.io/github/prioritizr/surveyvoi/coverage.svg?branch=master)](https://codecov.io/github/prioritizr/surveyvoi?branch=master) [![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/surveyvoi)](https://CRAN.R-project.org/package=surveyvoi) @@ -27,11 +28,58 @@ w = 3.0 ow = "400" ``` -The _surveyvoi_ package is a decision support tool for prioritizing sites for ecological surveys based on their potential to improve plans for conserving biodiversity (e.g. plans for establishing protected areas). Given a set of sites that could potentially be acquired for conservation management -- wherein some sites have previously been surveyed and other sites have not -- this package provides functionality to generate and evaluate plans for additional surveys. Specifically, plans for ecological surveys can be generated using various conventional approaches (e.g. maximizing expected species richness, geographic coverage, diversity of sampled environmental conditions) and by maximizing value of information. After generating plans for surveys, they can also be evaluated using value of information analysis. Please note that several functions depend on the 'Gurobi' optimization software (available from https://www.gurobi.com). Additionally, the JAGS software (available from https://mcmc-jags.sourceforge.io/) is required to fit hierarchical generalized linear models. +```{r, include = FALSE} +# define helpers +is_rel_version <- function(x) { + length(strsplit(as.character(x), ".", fixed = TRUE)[[1]]) == 3 +} + +package_version_year <- function(x) { + if (x %in% rownames(available.packages())) { + return(live_package_version_year(x)) + } else { + return(archive_package_version_year(x)) + } +} + +live_package_version_year <- function(x) { + # fetch data + d <- versions::available.versions(x)[[1]] + d <- d[which(d$version == max(d$version)), , drop = FALSE] + c(as.character(d$version), as.character(format(as.POSIXct(d$date), "%Y"))) +} + +archive_package_version_year <- function(x) { + # fetch data (copied from remotes R package) + tf <- tempfile(fileext = ".gz") + on.exit(unlink(tf), add = TRUE) + download.file(tf, url = sprintf("%s/src/contrib/Meta/archive.rds", repo)) + con <- gzfile(tf, "rb") + on.exit(close(con), add = TRUE) + d <- readRDS(con)[[x]] + # extract version + rel_version <- basename(rownames(d)) + rel_version <- sapply(strsplit(rel_version, "_", fixed = TRUE), `[[`, 2) + rel_version <- sapply(strsplit(rel_version, ".tar", fixed = TRUE), `[[`, 1) + rel_version <- max(rel_version) + # extract year + rel_year <- as.character(max(format(d[, "mtime"], "%Y"))) + # return year version + c(rel_version, rel_year) +} +``` + +The _surveyvoi_ package is a decision support tool for prioritizing sites for ecological surveys based on their potential to improve plans for conserving biodiversity (e.g. plans for establishing protected areas). Given a set of sites that could potentially be acquired for conservation management -- wherein some sites have previously been surveyed and other sites have not -- this package provides functionality to generate and evaluate plans for additional surveys. Specifically, plans for ecological surveys can be generated using various conventional approaches (e.g. maximizing expected species richness, geographic coverage, diversity of sampled environmental conditions) and by maximizing value of information. After generating plans for surveys, they can also be evaluated using value of information analysis. Please note that several functions depend on the Gurobi optimization software (available from https://www.gurobi.com). Additionally, the JAGS software (available from https://mcmc-jags.sourceforge.io/) is required to fit hierarchical generalized linear models. ## Installation -The development version can be installed from [GitHub](https://github.com/prioritizr/surveyvoi) using the following code. +The latest official version can be installed from the [Comprehensive R Archive Network (CRAN)](https://cran.r-project.org/) using the following _R_ code. + +```{r, eval = FALSE} +install.packages("surveyvoi", repos = "https://cran.rstudio.com/") +``` + +Alternatively, the latest development version can be installed from [GitHub](https://github.com/prioritizr/surveyvoi) using the following code. Please note that while developmental versions may contain additional features not present in the official version, they may also contain coding errors. ```{r, eval = FALSE} if (!require(remotes)) install.packages("remotes") @@ -70,12 +118,28 @@ brew install mpfr ## Citation -Please cite the _surveyvoi R_ package when using it in publications. To cite the developmental version, please use: +```{r, include = FALSE} +dev_version_year <- c( + as.character(packageDescription("surveyvoi")$Version), + format(Sys.time(), "%Y") +) +if (is_rel_version(dev_version_year[[1]])) { + rel_version_year <- dev_version_year +} else { + rel_version_year <- package_version_year("surveyvoi") +} +``` + +Please cite the _surveyvoi R_ package when using it in publications. To cite the latest official version, please use: + +```{r, echo = FALSE, results = "asis", comment = ""} +cat(paste0("> Hanson JO, Chadès I, Hudgins EJ, Bennett J (", rel_version_year[[2]], "). surveyvoi: Survey Value of Information. R package version ", rel_version_year[[1]], ". Available at https://CRAN.R-project.org/package=surveyvoi.\n")) +``` + +Alternatively, to cite the latest development version, please use: ```{r, echo = FALSE, results = "asis", comment = ""} -dev_version <- as.character(packageVersion("surveyvoi")) -dev_year <- "2022" -cat(paste0("> Hanson JO, Chadès I, Hudgins EJ, Bennett J (", dev_year, "). surveyvoi: Survey Value of Information. R package version ", dev_version, ". Available at https://github.com/prioritizr/surveyvoi.\n")) +cat(paste0("> Hanson JO, Chadès I, Hudgins EJ, Bennett J (", dev_version_year[[2]], "). surveyvoi: Survey Value of Information. R package version ", dev_version_year[[1]], ". Available at https://github.com/prioritizr/surveyvoi.\n")) ``` ## Usage @@ -83,7 +147,7 @@ cat(paste0("> Hanson JO, Chadès I, Hudgins EJ, Bennett J (", dev_year, "). surv Here we provide a short example showing how to use the _surveyvoi R_ package to prioritize funds for ecological surveys. In this example, we will generate plans for conducting ecological surveys (termed "survey schemes") using simulated data for six sites and three conservation features (e.g. bird species). To start off, we will set the seed for the random number generator for reproducibility and load some R packages. ```{r, message = FALSE} -set.seed(500) # set RNG for reproducibility +set.seed(501) # set RNG for reproducibility library(surveyvoi) # package for value of information analysis library(dplyr) # package for preparing data library(tidyr) # package for preparing data @@ -161,11 +225,11 @@ print(sim_features, width = Inf) After loading the data, we will now generate an optimized ecological survey scheme. To achieve this, we will use `approx_optimal_survey_scheme()` function. This function uses a greedy heuristic algorithm to maximize value of information. Although other functions can return solutions that are guaranteed to be optimal (i.e. `optimal_survey_scheme()`), they can take a very long time to complete because they use a brute-force approach. This function also uses an approximation routine to reduce computational burden. -To perform the optimization, we will set a total budget for (i) protecting sites and (ii) surveying sites. Although you might be hesitant to specify a budget, please recall that you would make very different plans depending on available funds. For instance, if you have near infinite funds then you wouldn't bother conducting any surveys and simply protect everything. Similarly, if you had very limited funds, then you wouldn't survey any sites to ensure that at least one site could be protected. Generally, conservation planning problems occur somewhere between these two extremes---but the optimization process can't take that into account if you don't specify a budget. For brevity, here we will set the total budget as 80% of the total costs for protecting sites. +To perform the optimization, we will set a total budget for (i) protecting sites and (ii) surveying sites. Although you might be hesitant to specify a budget, please recall that you would make very different plans depending on available funds. For instance, if you have near infinite funds then you wouldn't bother conducting any surveys and simply protect everything. Similarly, if you had very limited funds, then you wouldn't survey any sites to ensure that at least one site could be protected. Generally, conservation planning problems occur somewhere between these two extremes---but the optimization process can't take that into account if you don't specify a budget. For brevity, here we will set the total budget as 90% of the total costs for protecting sites. -```{r, message=FALSE, results=FALSE} +```{r, message = FALSE, results = FALSE} # calculate budget -budget <- sum(0.8 * sim_sites$management_cost) +budget <- sum(0.90 * sim_sites$management_cost) # generate optimized survey scheme opt_scheme <- @@ -188,6 +252,14 @@ opt_scheme <- verbose = TRUE) ``` +```{r, include = FALSE} +# ensure that at least one site is selected +assertthat::assert_that( + sum(c(opt_scheme[1, ])) >= 1, + msg = "no sites selected, not a compelling example" +) +``` + ```{r, fig.height = h, fig.width = w * 1.5} # the opt_scheme object is a matrix that contains the survey schemes # each column corresponds to a different site, diff --git a/README.md b/README.md index 61c5070..e46e6aa 100644 --- a/README.md +++ b/README.md @@ -7,6 +7,7 @@ [![R-CMD-check-Ubuntu](https://img.shields.io/github/workflow/status/prioritizr/surveyvoi/Ubuntu/master.svg?label=Ubuntu)](https://github.com/prioritizr/surveyvoi/actions) [![R-CMD-check-Windows](https://img.shields.io/github/workflow/status/prioritizr/surveyvoi/Windows/master.svg?label=Windows)](https://github.com/prioritizr/surveyvoi/actions) [![R-CMD-check-macOS](https://img.shields.io/github/workflow/status/prioritizr/surveyvoi/macOS/master.svg?label=macOS)](https://github.com/prioritizr/surveyvoi/actions) +[![R-CMD-check-Fedora](https://img.shields.io/github/workflow/status/prioritizr/surveyvoi/Fedora/master.svg?label=Fedora)](https://github.com/prioritizr/surveyvoi/actions) [![Documentation](https://img.shields.io/github/workflow/status/prioritizr/surveyvoi/Documentation/master.svg?label=Documentation)](https://github.com/prioritizr/surveyvoi/actions) [![Coverage Status](https://codecov.io/github/prioritizr/surveyvoi/coverage.svg?branch=master)](https://codecov.io/github/prioritizr/surveyvoi?branch=master) @@ -24,16 +25,26 @@ approaches (e.g. maximizing expected species richness, geographic coverage, diversity of sampled environmental conditions) and by maximizing value of information. After generating plans for surveys, they can also be evaluated using value of information analysis. Please -note that several functions depend on the ‘Gurobi’ optimization software +note that several functions depend on the Gurobi optimization software (available from ). Additionally, the JAGS software (available from ) is required to fit hierarchical generalized linear models. ## Installation -The development version can be installed from +The latest official version can be installed from the [Comprehensive R +Archive Network (CRAN)](https://cran.r-project.org/) using the following +*R* code. + +``` r +install.packages("surveyvoi", repos = "https://cran.rstudio.com/") +``` + +Alternatively, the latest development version can be installed from [GitHub](https://github.com/prioritizr/surveyvoi) using the following -code. +code. Please note that while developmental versions may contain +additional features not present in the official version, they may also +contain coding errors. ``` r if (!require(remotes)) install.packages("remotes") @@ -83,10 +94,16 @@ following commands in the system terminal: ## Citation Please cite the *surveyvoi R* package when using it in publications. To -cite the developmental version, please use: +cite the latest official version, please use: + +> Hanson JO, Chadès I, Hudgins EJ, Bennett J (2022). surveyvoi: Survey +> Value of Information. R package version 1.0.5. Available at +> . + +Alternatively, to cite the latest development version, please use: > Hanson JO, Chadès I, Hudgins EJ, Bennett J (2022). surveyvoi: Survey -> Value of Information. R package version 1.0.4. Available at +> Value of Information. R package version 1.0.5. Available at > . ## Usage @@ -99,7 +116,7 @@ features (e.g. bird species). To start off, we will set the seed for the random number generator for reproducibility and load some R packages. ``` r -set.seed(500) # set RNG for reproducibility +set.seed(501) # set RNG for reproducibility library(surveyvoi) # package for value of information analysis library(dplyr) # package for preparing data library(tidyr) # package for preparing data @@ -172,7 +189,7 @@ ggtitle("management_cost") + theme(legend.title = element_blank()) ``` - + ``` r # plot cost of conducting an additional survey in each site @@ -183,7 +200,7 @@ ggtitle("survey_cost") + theme(legend.title = element_blank()) ``` - + ``` r # plot survey data @@ -281,12 +298,12 @@ then you wouldn’t survey any sites to ensure that at least one site could be protected. Generally, conservation planning problems occur somewhere between these two extremes—but the optimization process can’t take that into account if you don’t specify a budget. For brevity, here -we will set the total budget as 80% of the total costs for protecting +we will set the total budget as 90% of the total costs for protecting sites. ``` r # calculate budget -budget <- sum(0.8 * sim_sites$management_cost) +budget <- sum(0.90 * sim_sites$management_cost) # generate optimized survey scheme opt_scheme <- @@ -318,7 +335,7 @@ opt_scheme <- print(str(opt_scheme)) ``` - ## logi [1, 1:6] FALSE FALSE FALSE FALSE FALSE FALSE + ## logi [1, 1:6] FALSE TRUE FALSE TRUE TRUE TRUE ## - attr(*, "ev")= num [1, 1:100] 3 3 3 3 3 ... ## NULL @@ -335,7 +352,7 @@ ggtitle("scheme") + theme(legend.title = element_blank()) ``` - + This has just been a taster of the *surveyvoi R* package. In addition to this functionality, it can be used to evaluate survey schemes using diff --git a/cran-comments.md b/cran-comments.md index 1274c67..f8cedf7 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -1,6 +1,6 @@ Dear CRAN volunteers, -Thank you very much for reviewing this submission. I recognize that there were many issues with the previous submission of this package (back in May 2021), and I apologize for my carelessness. I am extremely grateful to CRAN volunteers for providing such detailed advice on addressing these issues. I have verified that the package passes CRAN package checks on both the Win-Builder and macOS platforms, along with several other environments using GitHub Actions and Docker (see Test environments below). I have also aimed to verify that the system requirements for this package are available on CRAN's check servers, and provide details indicating the presence of these requirements on CRAN's servers (see System requirements below). +Thank you very much for reviewing this submission. This submission aims to fix the issues causing the package to fail CRAN checks. Specifically, it fixes the compiler warnings (e.g., on Debian-clang flavor) and unit test errors (i.e., on Fedora flavors). I have also taken this opportunity to update the package to be compatible with the upcoming Matrix package (version >= 1.4-2), whilst maintaining backwards compatibility with previous versions. Cheers, @@ -9,6 +9,7 @@ Jeff # Test environments * [Debian (testing), R-release](https://github.com/r-devel/rcheckserver) ([based on rcheckserver](https://statmath.wu.ac.at/AASC/debian/)) +* [Fedora 33, clang, R-devel](https://github.com/prioritizr/surveyvoi/actions?query=workflow%3AFedora) * [Ubuntu 20.04, R-release](https://github.com/prioritizr/surveyvoi/actions?query=workflow%3AUbuntu) * [Ubuntu 20.04, R-devel](https://github.com/prioritizr/surveyvoi/actions?query=workflow%3AUbuntu) * [macOS 10.15, R-release](https://github.com/prioritizr/surveyvoi/actions?query=workflow%3A%22Mac+OSX%22) @@ -22,10 +23,6 @@ Jeff # Notes -* Requires non-standard build of gmp (undeclared and unchecked). - - **This message appears when testing the package on WinBuilder. My understanding is that this message is displayed because the package uses the RWinLib infrastructure to obtain a version of gmp with the C++ bindings available (see https://github.com/rwinlib/gmp). Although the standard Windows Rtools build-chain does provide such C++ bindings (see https://github.com/r-windows/rtools-packages/blob/master/mingw-w64-gmp/PKGBUILD), WinBuilder has a manually installed version of gmp -- which overrides the version of gmp distributed with Rtools -- that does not provide the C++ bindings (indicated by https://win-builder.r-project.org/GPLcompliance/). As such, a non-standard build of gmp is used when compiling the package on WinBuilder (i.e., the gmp build obtained from the RWinLib infrastructure).** - * checking installed package size ... NOTE installed size is 14.4Mb sub-directories of 1Mb or more: @@ -40,9 +37,9 @@ Jeff # System requirements -The package has system requirements. Some of these requirements are mandatory -- and are required for successful installation -- and others are optional. To ensure that all mandatory requirements are available on CRAN systems, I have checked the software installed on CRAN's various systems. Briefly, this information was obtained from the [Windows](https://github.com/r-windows/rtools-packages) and [macOS](https://github.com/R-macos/recipes) toolchains; the [rcheckserver Debian meta-package](https://statmath.wu.ac.at/AASC/debian/dists/stable/main/binary-amd64/Packages), and correspondence with CRAN volunteers. +The package has system requirements. Some of these requirements are mandatory -- and are required for successful installation -- and others are optional. To ensure that all mandatory requirements are available on CRAN systems, I have checked the software installed on CRAN's various systems. Briefly, this information was obtained from the [Windows toolchain](https://github.com/r-windows/rtools-packages); [macOS toolchain](https://github.com/R-macos/recipes) toolchains; [rcheckserver Debian meta-package](https://statmath.wu.ac.at/AASC/debian/dists/stable/main/binary-amd64/Packages); and via correspondence with CRAN volunteers. -Below, I have provided a markdown table detailing whether each system requirement is optional or mandatory under various operating systems. I have also included details and URLs verifying the availability of mandatory system requirements on CRAN's systems. +Below, I have provided a markdown table detailing whether each system requirement is optional or mandatory under various operating systems. I have also included details and URLs verifying the availability of mandatory system requirements on each of CRAN's systems. Where URLs are provided for certain software on certain operating systems (e.g., for gmpxx on Windows), the URL points directly to the source code for the relevant toolchain (e.g., the RTools for Windows) for including the software. | Software | Debian | Fedora | Windows | macOS | |:--------|:---------:|:--------:|:------:|:------:| @@ -66,7 +63,7 @@ Below, I have provided a markdown table detailing whether each system requiremen There are no existing packages that depend on this package. -# Previous comments from CRAN volunteers +# Comments from CRAN volunteers on previous submissions * Correct your SystemRequirements. diff --git a/docs/404.html b/docs/404.html index aa24777..dcb5357 100644 --- a/docs/404.html +++ b/docs/404.html @@ -32,7 +32,7 @@ surveyvoi - 1.0.4 + 1.0.5 diff --git a/docs/articles/index.html b/docs/articles/index.html index 41a9f14..f7a35f9 100644 --- a/docs/articles/index.html +++ b/docs/articles/index.html @@ -17,7 +17,7 @@ surveyvoi - 1.0.4 + 1.0.5 diff --git a/docs/articles/surveyvoi.html b/docs/articles/surveyvoi.html index 1a181d6..b961cb7 100644 --- a/docs/articles/surveyvoi.html +++ b/docs/articles/surveyvoi.html @@ -33,7 +33,7 @@ surveyvoi - 1.0.4 + 1.0.5 @@ -72,7 +72,7 @@

surveyvoi: Survey Value of Information

Jeffrey O. Hanson

-

2022-08-26

+

2022-09-13

Source: vignettes/surveyvoi.Rmd diff --git a/docs/authors.html b/docs/authors.html index 195bbef..f9cde14 100644 --- a/docs/authors.html +++ b/docs/authors.html @@ -17,7 +17,7 @@ surveyvoi - 1.0.4 + 1.0.5 @@ -78,13 +78,13 @@

Citation

Hanson JO, Chadès I, Hudgins EJ, Bennett JR (2022). surveyvoi: Survey Value of Information. -R package version 1.0.4, https://prioritizr.github.io/surveyvoi/. +R package version 1.0.5, https://prioritizr.github.io/surveyvoi/.

@Manual{,
   title = {surveyvoi: Survey Value of Information},
   author = {Jeffrey O Hanson and Iadine Chadès and Emma J Hudgins and Joseph R Bennett},
   year = {2022},
-  note = {R package version 1.0.4},
+  note = {R package version 1.0.5},
   url = {https://prioritizr.github.io/surveyvoi/},
 }
diff --git a/docs/index.html b/docs/index.html index 7e17d03..ef11b21 100644 --- a/docs/index.html +++ b/docs/index.html @@ -46,7 +46,7 @@ surveyvoi - 1.0.4 + 1.0.5 @@ -85,12 +85,15 @@ -

The surveyvoi package is a decision support tool for prioritizing sites for ecological surveys based on their potential to improve plans for conserving biodiversity (e.g. plans for establishing protected areas). Given a set of sites that could potentially be acquired for conservation management – wherein some sites have previously been surveyed and other sites have not – this package provides functionality to generate and evaluate plans for additional surveys. Specifically, plans for ecological surveys can be generated using various conventional approaches (e.g. maximizing expected species richness, geographic coverage, diversity of sampled environmental conditions) and by maximizing value of information. After generating plans for surveys, they can also be evaluated using value of information analysis. Please note that several functions depend on the ‘Gurobi’ optimization software (available from https://www.gurobi.com). Additionally, the JAGS software (available from https://mcmc-jags.sourceforge.io/) is required to fit hierarchical generalized linear models.

+

The surveyvoi package is a decision support tool for prioritizing sites for ecological surveys based on their potential to improve plans for conserving biodiversity (e.g. plans for establishing protected areas). Given a set of sites that could potentially be acquired for conservation management – wherein some sites have previously been surveyed and other sites have not – this package provides functionality to generate and evaluate plans for additional surveys. Specifically, plans for ecological surveys can be generated using various conventional approaches (e.g. maximizing expected species richness, geographic coverage, diversity of sampled environmental conditions) and by maximizing value of information. After generating plans for surveys, they can also be evaluated using value of information analysis. Please note that several functions depend on the Gurobi optimization software (available from https://www.gurobi.com). Additionally, the JAGS software (available from https://mcmc-jags.sourceforge.io/) is required to fit hierarchical generalized linear models.

Installation

-

The development version can be installed from GitHub using the following code.

+

The latest official version can be installed from the Comprehensive R Archive Network (CRAN) using the following R code.

+install.packages("surveyvoi", repos = "https://cran.rstudio.com/")
+

Alternatively, the latest development version can be installed from GitHub using the following code. Please note that while developmental versions may contain additional features not present in the official version, they may also contain coding errors.

+
 if (!require(remotes)) install.packages("remotes")
 remotes::install_github("prioritizr/surveyvoi")
@@ -102,8 +105,8 @@

WindowsUbuntu

The gmp, fftw3, mpfr, and symphony libraries need to be installed to install the surveyvoi R package. Although the fftw3 and symphony libraries are not used directly, they are needed to successfully install dependencies. For recent versions of Ubuntu (18.04 and later), these libraries are available through official repositories. They can be installed using the following system commands:

-
apt-get -y update
-apt-get install -y libgmp3-dev libfftw3-dev libmpfr-dev coinor-libsymphony-dev
+
apt-get -y update
+apt-get install -y libgmp3-dev libfftw3-dev libmpfr-dev coinor-libsymphony-dev

Linux @@ -114,75 +117,77 @@

Linux

macOS

The gmp, fftw, mpfr, and symphony libraries are required. Although the fftw3 and symphony libraries are not used directly, they are needed to successfully install dependencies. The easiest way to install these libraries is using HomeBrew. After installing HomeBrew, these libraries can be installed using the following commands in the system terminal:

-
brew tap coin-or-tools/coinor
-brew install symphony
-brew install pkg-config
-brew install gmp
-brew install fftw
-brew install mpfr
+
brew tap coin-or-tools/coinor
+brew install symphony
+brew install pkg-config
+brew install gmp
+brew install fftw
+brew install mpfr

Citation

-

Please cite the surveyvoi R package when using it in publications. To cite the developmental version, please use:

-

Hanson JO, Chadès I, Hudgins EJ, Bennett J (2022). surveyvoi: Survey Value of Information. R package version 1.0.4. Available at https://github.com/prioritizr/surveyvoi.

+

Please cite the surveyvoi R package when using it in publications. To cite the latest official version, please use:

+

Hanson JO, Chadès I, Hudgins EJ, Bennett J (2022). surveyvoi: Survey Value of Information. R package version 1.0.5. Available at https://CRAN.R-project.org/package=surveyvoi.

+

Alternatively, to cite the latest development version, please use:

+

Hanson JO, Chadès I, Hudgins EJ, Bennett J (2022). surveyvoi: Survey Value of Information. R package version 1.0.5. Available at https://github.com/prioritizr/surveyvoi.

Usage

Here we provide a short example showing how to use the surveyvoi R package to prioritize funds for ecological surveys. In this example, we will generate plans for conducting ecological surveys (termed “survey schemes”) using simulated data for six sites and three conservation features (e.g. bird species). To start off, we will set the seed for the random number generator for reproducibility and load some R packages.

-
-set.seed(500)      # set RNG for reproducibility
+
+set.seed(501)      # set RNG for reproducibility
 library(surveyvoi) # package for value of information analysis
 library(dplyr)     # package for preparing data
 library(tidyr)     # package for preparing data
 library(ggplot2)   # package for plotting data

Now we will load some datasets that are distributed with the package. First, we will load the sim_sites object. This spatially explicit dataset (i.e. sf object) contains information on the sites within our study area. Critically, it contains (i) sites that have already been surveyed, (ii) candidate sites for additional surveys, (iii) sites that have already been protected, and (iv) candidate sites that could be protected in the future. Each row corresponds to a different site, and each column describes different properties associated with each site. In this table, the "management_cost" column indicates the cost of protecting each site; "survey_cost" column indicates the cost of conducting an ecological survey within each site; and "e1" and "e2" columns contain environmental data for each site (not used in this example). The remaining columns describe the existing survey data and the spatial distribution of the features across the sites. The "n1", "n2", and "n3" columns indicate the number of surveys conducted within each site that looked for each of the three features (respectively); and "f1", "f2", and "f3" columns describe the proportion of surveys within each site that looked for each feature where the feature was detected (respectively). For example, if "n1" has a value of 2 and "f1" has a value of 0.5 for a given site, then the feature "f1" was detected in only one of the two surveys conducted in this site that looked for the feature. Finally, the "p1", "p2", and "p3" columns contain modeled probability estimates of each species being present in each site (see fit_hglm_occupancy_models() and fit_xgb_occupancy_models() to generate such estimates for your own data).

-
+
 # load data
 data(sim_sites)
 
 # print table
 print(sim_sites, width = Inf)
-
## Simple feature collection with 6 features and 13 fields
-## Geometry type: POINT
-## Dimension:     XY
-## Bounding box:  xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977
-## CRS:           NA
-## # A tibble: 6 × 14
-##   survey_cost management_cost    f1    f2    f3    n1    n2    n3      e1     e2
-##         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>
-## 1          14             102     1   1       1     3     3     3  1.00   -0.848
-## 2          25              90     0   0       0     0     0     0 -1.44    1.27 
-## 3          25             165     1   0.6     0     5     5     5  1.25    0.817
-## 4          17             104     0   0       0     0     0     0 -0.484  -0.292
-## 5          18             100     0   0       0     0     0     0  0.0135  0.380
-## 6          15              94     0   0       0     0     0     0 -0.347  -1.33 
-##      p1    p2    p3               geometry
-##   <dbl> <dbl> <dbl>                <POINT>
-## 1 1     0.999 0.789  (0.1589075 0.8637977)
-## 2 0     0     0.112  (0.9764926 0.7485368)
-## 3 1     0.419 0.012  (0.8362375 0.2282762)
-## 4 0.022 0.502 0.834     (0.10513 0.179855)
-## 5 0.318 0.13  0.225 (0.5985786 0.04556193)
-## 6 0.474 0.997 0.991  (0.1504241 0.6821156)
-
+
## Simple feature collection with 6 features and 13 fields
+## Geometry type: POINT
+## Dimension:     XY
+## Bounding box:  xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977
+## CRS:           NA
+## # A tibble: 6 × 14
+##   survey_cost management_cost    f1    f2    f3    n1    n2    n3      e1     e2
+##         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>
+## 1          14             102     1   1       1     3     3     3  1.00   -0.848
+## 2          25              90     0   0       0     0     0     0 -1.44    1.27 
+## 3          25             165     1   0.6     0     5     5     5  1.25    0.817
+## 4          17             104     0   0       0     0     0     0 -0.484  -0.292
+## 5          18             100     0   0       0     0     0     0  0.0135  0.380
+## 6          15              94     0   0       0     0     0     0 -0.347  -1.33 
+##      p1    p2    p3               geometry
+##   <dbl> <dbl> <dbl>                <POINT>
+## 1 1     0.999 0.789  (0.1589075 0.8637977)
+## 2 0     0     0.112  (0.9764926 0.7485368)
+## 3 1     0.419 0.012  (0.8362375 0.2282762)
+## 4 0.022 0.502 0.834     (0.10513 0.179855)
+## 5 0.318 0.13  0.225 (0.5985786 0.04556193)
+## 6 0.474 0.997 0.991  (0.1504241 0.6821156)
+
 # plot cost of protecting each site
 ggplot(sim_sites) +
 geom_sf(aes(color = management_cost), size = 4) +
 ggtitle("management_cost") +
 theme(legend.title = element_blank())
-

-
+

+
 # plot cost of conducting an additional survey in each site
 # note that these costs are much lower than the protection costs
 ggplot(sim_sites) +
 geom_sf(aes(color = survey_cost), size = 4) +
 ggtitle("survey_cost") +
 theme(legend.title = element_blank())
-

-
+

+
 # plot survey data
 ## n1, n2, n3: number of surveys in each site that looked for each feature
 sim_sites %>%
@@ -192,7 +197,7 @@ 

Usage geom_sf(aes(color = value), size = 4) + facet_wrap(~name, nrow = 1)

-
+
 # plot survey results
 ## f1, f2, f3: proportion of surveys in each site that looked for each feature
 ##             that detected the feature
@@ -204,7 +209,7 @@ 

Usage facet_wrap(~name, nrow = 1) + scale_color_continuous(limits = c(0, 1))

-
+
 # plot modeled probability of occupancy data
 sim_sites %>%
 select(p1, p2, p3) %>%
@@ -215,28 +220,28 @@ 

Usage scale_color_continuous(limits = c(0, 1))

Next, we will load the sim_features object. This table contains information on the conservation features (e.g. species). Specifically, each row corresponds to a different feature, and each column contains information associated with the features. In this table, the "name" column contains the name of each feature; "survey" column indicates whether future surveys would look for this species; "survey_sensitivity" and "survey_specificity" columns denote the sensitivity (true positive rate) and specificity (true negative rate) for the survey methodology for correctly detecting the feature; "model_sensitivity" and "model_specificity" columns denote the sensitivity (true positive rate) and specificity (true negative rate) for the species distribution models fitted for each feature; and "target" column denotes the required number of protected sites for each feature (termed “representation target”, each feature has a target of 1 site).

-
+
 # load data
 data(sim_features)
 
 # print table
 print(sim_features, width = Inf)
-
## # A tibble: 3 × 7
-##   name  survey survey_sensitivity survey_specificity model_sensitivity
-##   <chr> <lgl>               <dbl>              <dbl>             <dbl>
-## 1 f1    TRUE                0.954              0.886             0.718
-## 2 f2    TRUE                0.974              0.875             0.705
-## 3 f3    TRUE                0.956              0.823             0.768
-##   model_specificity target
-##               <dbl>  <dbl>
-## 1             0.811      1
-## 2             0.860      1
-## 3             0.887      1
+
## # A tibble: 3 × 7
+##   name  survey survey_sensitivity survey_specificity model_sensitivity
+##   <chr> <lgl>               <dbl>              <dbl>             <dbl>
+## 1 f1    TRUE                0.954              0.886             0.718
+## 2 f2    TRUE                0.974              0.875             0.705
+## 3 f3    TRUE                0.956              0.823             0.768
+##   model_specificity target
+##               <dbl>  <dbl>
+## 1             0.811      1
+## 2             0.860      1
+## 3             0.887      1

After loading the data, we will now generate an optimized ecological survey scheme. To achieve this, we will use approx_optimal_survey_scheme() function. This function uses a greedy heuristic algorithm to maximize value of information. Although other functions can return solutions that are guaranteed to be optimal (i.e. optimal_survey_scheme()), they can take a very long time to complete because they use a brute-force approach. This function also uses an approximation routine to reduce computational burden.

-

To perform the optimization, we will set a total budget for (i) protecting sites and (ii) surveying sites. Although you might be hesitant to specify a budget, please recall that you would make very different plans depending on available funds. For instance, if you have near infinite funds then you wouldn’t bother conducting any surveys and simply protect everything. Similarly, if you had very limited funds, then you wouldn’t survey any sites to ensure that at least one site could be protected. Generally, conservation planning problems occur somewhere between these two extremes—but the optimization process can’t take that into account if you don’t specify a budget. For brevity, here we will set the total budget as 80% of the total costs for protecting sites.

-
+

To perform the optimization, we will set a total budget for (i) protecting sites and (ii) surveying sites. Although you might be hesitant to specify a budget, please recall that you would make very different plans depending on available funds. For instance, if you have near infinite funds then you wouldn’t bother conducting any surveys and simply protect everything. Similarly, if you had very limited funds, then you wouldn’t survey any sites to ensure that at least one site could be protected. Generally, conservation planning problems occur somewhere between these two extremes—but the optimization process can’t take that into account if you don’t specify a budget. For brevity, here we will set the total budget as 90% of the total costs for protecting sites.

+
 # calculate budget
-budget <- sum(0.8 * sim_sites$management_cost)
+budget <- sum(0.90 * sim_sites$management_cost)
 
 # generate optimized survey scheme
 opt_scheme <-
@@ -257,17 +262,17 @@ 

Usage total_budget = budget, survey_budget = budget, verbose = TRUE)

-
+
 # the opt_scheme object is a matrix that contains the survey schemes
 # each column corresponds to a different site,
 # and each row corresponds to a different solution
 # in the event that there are multiple near-optimal survey schemes, then this
 # matrix will have multiple rows
 print(str(opt_scheme))
-
##  logi [1, 1:6] FALSE FALSE FALSE FALSE FALSE FALSE
-##  - attr(*, "ev")= num [1, 1:100] 3 3 3 3 3 ...
-## NULL
-
+
##  logi [1, 1:6] FALSE TRUE FALSE TRUE TRUE TRUE
+##  - attr(*, "ev")= num [1, 1:100] 3 3 3 3 3 ...
+## NULL
+
 # let's add the first solution (row) in opt_scheme to the site data to plot it
 sim_sites$scheme <- c(opt_scheme[1, ])
 
@@ -278,7 +283,7 @@ 

Usage geom_sf(aes(color = scheme), size = 4) + ggtitle("scheme") + theme(legend.title = element_blank())

-

+

This has just been a taster of the surveyvoi R package. In addition to this functionality, it can be used to evaluate survey schemes using value of information analysis. Furthermore, it can be used to generate survey schemes using conventional approaches (e.g. sampling environmental gradients, and selecting places with highly uncertain information). For more information, see the package vignette.

@@ -334,6 +339,7 @@

Dev status

  • R-CMD-check-Ubuntu
  • R-CMD-check-Windows
  • R-CMD-check-macOS
  • +
  • R-CMD-check-Fedora
  • Documentation
  • Coverage Status
  • CRAN_Status_Badge
  • diff --git a/docs/news/index.html b/docs/news/index.html index 2cc22c9..944f2f5 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -17,7 +17,7 @@ surveyvoi - 1.0.4 + 1.0.5
    @@ -51,7 +51,16 @@

    Changelog

    - + +
    • CRAN release.
    • +
    • Skip tests on Fedora systems because unable to reproduce error on CRAN.
    • +
    • Fix compiler warning thrown during installation.
    • +
    • Fix compatibility issues with upcoming Matrix package (version >= 1.4-2) .
    • +
    • Fix issues unloading package properly.
    • +
    • Update citation information in README.
    • +
    +
    +
    • CRAN release.
    @@ -60,16 +69,16 @@
    -
    +
    -
    • Fix CRAN note about utils package dependency.
    • -
    • Skip unit tests that require RandomFields package on Windows to avoid spurious failures.
    • +
      • Fix CRAN note about utils package dependency.
      • +
      • Skip unit tests that require RandomFields package on Windows to avoid spurious failures.
    • Update documentation for new code repository location.
    • -
    • Add remote for RandomFields package to facilitate installation.
    • +
    • Add remote for RandomFields package to facilitate installation.
    @@ -77,11 +86,11 @@
    • Autoconf is used for installation on Linux and macOS operating systems.
    @@ -95,9 +104,9 @@
    -
    • Fix compatibility issues with updates to the xgboost package (version 1.5.0).
    • -
    • Fix parallel processing tests given updates to the testthat package (version 3.1.2).
    • -
    • Fix tests for environmental and geographic survey schemes given updates to the gurobi package (version 9.5.0).
    • +
      • Fix compatibility issues with updated xgboost package (version 1.5.0).
      • +
      • Fix parallel processing tests given updates to the testthat package (version 3.1.2).
      • +
      • Fix tests for environmental and geographic survey schemes given updates to the gurobi package (version 9.5.0).
    @@ -130,7 +139,7 @@
    diff --git a/docs/reference/approx_near_optimal_survey_scheme.html b/docs/reference/approx_near_optimal_survey_scheme.html index 1a652c7..bcf0805 100644 --- a/docs/reference/approx_near_optimal_survey_scheme.html +++ b/docs/reference/approx_near_optimal_survey_scheme.html @@ -20,7 +20,7 @@ surveyvoi - 1.0.4 + 1.0.5
    @@ -358,14 +358,14 @@

    Examples

    #> Bounding box: xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977 #> CRS: NA #> # A tibble: 6 × 14 -#> survey…¹ manag…² f1 f2 f3 n1 n2 n3 e1 e2 p1 p2 -#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> -#> 1 3.43 43.8 1 1 0 5 5 5 -1.38 0.425 0.941 0.999 -#> 2 6.07 59.0 0 0 0 0 0 0 0.736 -1.01 0.36 0.006 -#> 3 7.09 46.7 0 0 0 0 0 0 0.754 -0.959 0.337 0.006 -#> 4 6.50 49.6 0 0 0 0 0 0 0.530 1.51 0.048 0.579 -#> 5 5.37 48.1 0 0 0 0 0 0 0.546 -0.525 0.335 0.032 -#> 6 3.35 48.9 1 0.667 0.333 3 3 3 -1.18 0.557 0.896 0.998 +#> surve…¹ manag…² f1 f2 f3 n1 n2 n3 e1 e2 p1 p2 +#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> +#> 1 14 102 1 1 1 3 3 3 1.00 -0.848 1 0.999 +#> 2 25 90 0 0 0 0 0 0 -1.44 1.27 0 0 +#> 3 25 165 1 0.6 0 5 5 5 1.25 0.817 1 0.419 +#> 4 17 104 0 0 0 0 0 0 -0.484 -0.292 0.022 0.502 +#> 5 18 100 0 0 0 0 0 0 0.0135 0.380 0.318 0.13 +#> 6 15 94 0 0 0 0 0 0 -0.347 -1.33 0.474 0.997 #> # … with 2 more variables: p3 <dbl>, geometry <POINT>, and abbreviated variable #> # names ¹​survey_cost, ²​management_cost @@ -402,9 +402,10 @@

    Examples

    print(approx_near_optimal_survey) #> [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] FALSE FALSE FALSE FALSE FALSE FALSE -#> [2,] FALSE FALSE FALSE FALSE TRUE FALSE +#> [2,] FALSE FALSE FALSE FALSE FALSE TRUE +#> [3,] FALSE FALSE FALSE TRUE FALSE TRUE #> attr(,"ev") -#> [1] 2.898206 2.898206 +#> [1] 2.998167 2.998167 2.998167
    diff --git a/docs/reference/approx_optimal_survey_scheme.html b/docs/reference/approx_optimal_survey_scheme.html index e335f6e..f635aa8 100644 --- a/docs/reference/approx_optimal_survey_scheme.html +++ b/docs/reference/approx_optimal_survey_scheme.html @@ -19,7 +19,7 @@ surveyvoi - 1.0.4 + 1.0.5
    @@ -337,14 +337,14 @@

    Examples

    #> Bounding box: xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977 #> CRS: NA #> # A tibble: 6 × 14 -#> survey…¹ manag…² f1 f2 f3 n1 n2 n3 e1 e2 p1 p2 -#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> -#> 1 3.43 43.8 1 1 0 5 5 5 -1.38 0.425 0.941 0.999 -#> 2 6.07 59.0 0 0 0 0 0 0 0.736 -1.01 0.36 0.006 -#> 3 7.09 46.7 0 0 0 0 0 0 0.754 -0.959 0.337 0.006 -#> 4 6.50 49.6 0 0 0 0 0 0 0.530 1.51 0.048 0.579 -#> 5 5.37 48.1 0 0 0 0 0 0 0.546 -0.525 0.335 0.032 -#> 6 3.35 48.9 1 0.667 0.333 3 3 3 -1.18 0.557 0.896 0.998 +#> surve…¹ manag…² f1 f2 f3 n1 n2 n3 e1 e2 p1 p2 +#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> +#> 1 14 102 1 1 1 3 3 3 1.00 -0.848 1 0.999 +#> 2 25 90 0 0 0 0 0 0 -1.44 1.27 0 0 +#> 3 25 165 1 0.6 0 5 5 5 1.25 0.817 1 0.419 +#> 4 17 104 0 0 0 0 0 0 -0.484 -0.292 0.022 0.502 +#> 5 18 100 0 0 0 0 0 0 0.0135 0.380 0.318 0.13 +#> 6 15 94 0 0 0 0 0 0 -0.347 -1.33 0.474 0.997 #> # … with 2 more variables: p3 <dbl>, geometry <POINT>, and abbreviated variable #> # names ¹​survey_cost, ²​management_cost @@ -384,31 +384,31 @@

    Examples

    #> [1,] FALSE FALSE FALSE FALSE FALSE FALSE #> attr(,"ev") #> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] -#> [1,] 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 #> [,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] -#> [1,] 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 #> [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] -#> [1,] 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 #> [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] -#> [1,] 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 #> [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] -#> [1,] 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 #> [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] -#> [1,] 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 #> [,49] [,50] [,51] [,52] [,53] [,54] [,55] [,56] -#> [1,] 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 #> [,57] [,58] [,59] [,60] [,61] [,62] [,63] [,64] -#> [1,] 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 #> [,65] [,66] [,67] [,68] [,69] [,70] [,71] [,72] -#> [1,] 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 #> [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] -#> [1,] 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 #> [,81] [,82] [,83] [,84] [,85] [,86] [,87] [,88] -#> [1,] 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 #> [,89] [,90] [,91] [,92] [,93] [,94] [,95] [,96] -#> [1,] 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 #> [,97] [,98] [,99] [,100] -#> [1,] 2.898206 2.898206 2.898206 2.898206 +#> [1,] 2.998167 2.998167 2.998167 2.998167 # } diff --git a/docs/reference/env_div_survey_scheme.html b/docs/reference/env_div_survey_scheme.html index 0c33404..5e3f83d 100644 --- a/docs/reference/env_div_survey_scheme.html +++ b/docs/reference/env_div_survey_scheme.html @@ -18,7 +18,7 @@ surveyvoi - 1.0.4 + 1.0.5 diff --git a/docs/reference/evdci.html b/docs/reference/evdci.html index 44e2b6a..cb9a3b6 100644 --- a/docs/reference/evdci.html +++ b/docs/reference/evdci.html @@ -20,7 +20,7 @@ surveyvoi - 1.0.4 + 1.0.5 @@ -244,14 +244,14 @@

    Examples

    #> Bounding box: xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977 #> CRS: NA #> # A tibble: 6 × 14 -#> survey…¹ manag…² f1 f2 f3 n1 n2 n3 e1 e2 p1 p2 -#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> -#> 1 3.43 43.8 1 1 0 5 5 5 -1.38 0.425 0.941 0.999 -#> 2 6.07 59.0 0 0 0 0 0 0 0.736 -1.01 0.36 0.006 -#> 3 7.09 46.7 0 0 0 0 0 0 0.754 -0.959 0.337 0.006 -#> 4 6.50 49.6 0 0 0 0 0 0 0.530 1.51 0.048 0.579 -#> 5 5.37 48.1 0 0 0 0 0 0 0.546 -0.525 0.335 0.032 -#> 6 3.35 48.9 1 0.667 0.333 3 3 3 -1.18 0.557 0.896 0.998 +#> surve…¹ manag…² f1 f2 f3 n1 n2 n3 e1 e2 p1 p2 +#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> +#> 1 14 102 1 1 1 3 3 3 1.00 -0.848 1 0.999 +#> 2 25 90 0 0 0 0 0 0 -1.44 1.27 0 0 +#> 3 25 165 1 0.6 0 5 5 5 1.25 0.817 1 0.419 +#> 4 17 104 0 0 0 0 0 0 -0.484 -0.292 0.022 0.502 +#> 5 18 100 0 0 0 0 0 0 0.0135 0.380 0.318 0.13 +#> 6 15 94 0 0 0 0 0 0 -0.347 -1.33 0.474 0.997 #> # … with 2 more variables: p3 <dbl>, geometry <POINT>, and abbreviated variable #> # names ¹​survey_cost, ²​management_cost @@ -281,7 +281,7 @@

    Examples

    # print exact value print(ev_current) -#> [1] 2.898206 +#> [1] 2.998167 diff --git a/docs/reference/evdsi.html b/docs/reference/evdsi.html index ab8a068..88110bd 100644 --- a/docs/reference/evdsi.html +++ b/docs/reference/evdsi.html @@ -20,7 +20,7 @@ surveyvoi - 1.0.4 + 1.0.5 @@ -274,14 +274,14 @@

    Examples

    #> Bounding box: xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977 #> CRS: NA #> # A tibble: 6 × 14 -#> survey…¹ manag…² f1 f2 f3 n1 n2 n3 e1 e2 p1 p2 -#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> -#> 1 3.43 43.8 1 1 0 5 5 5 -1.38 0.425 0.941 0.999 -#> 2 6.07 59.0 0 0 0 0 0 0 0.736 -1.01 0.36 0.006 -#> 3 7.09 46.7 0 0 0 0 0 0 0.754 -0.959 0.337 0.006 -#> 4 6.50 49.6 0 0 0 0 0 0 0.530 1.51 0.048 0.579 -#> 5 5.37 48.1 0 0 0 0 0 0 0.546 -0.525 0.335 0.032 -#> 6 3.35 48.9 1 0.667 0.333 3 3 3 -1.18 0.557 0.896 0.998 +#> surve…¹ manag…² f1 f2 f3 n1 n2 n3 e1 e2 p1 p2 +#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> +#> 1 14 102 1 1 1 3 3 3 1.00 -0.848 1 0.999 +#> 2 25 90 0 0 0 0 0 0 -1.44 1.27 0 0 +#> 3 25 165 1 0.6 0 5 5 5 1.25 0.817 1 0.419 +#> 4 17 104 0 0 0 0 0 0 -0.484 -0.292 0.022 0.502 +#> 5 18 100 0 0 0 0 0 0 0.0135 0.380 0.318 0.13 +#> 6 15 94 0 0 0 0 0 0 -0.347 -1.33 0.474 0.997 #> # … with 2 more variables: p3 <dbl>, geometry <POINT>, and abbreviated variable #> # names ¹​survey_cost, ²​management_cost @@ -317,7 +317,7 @@

    Examples

    # print value print(ev_survey) -#> [1] 2.871599 +#> [1] 2.99216 diff --git a/docs/reference/feasible_survey_schemes.html b/docs/reference/feasible_survey_schemes.html index 8ed4ebf..c5ab6f1 100644 --- a/docs/reference/feasible_survey_schemes.html +++ b/docs/reference/feasible_survey_schemes.html @@ -18,7 +18,7 @@ surveyvoi - 1.0.4 + 1.0.5 diff --git a/docs/reference/figures/README-unnamed-chunk-10-1.png b/docs/reference/figures/README-unnamed-chunk-10-1.png index ad0cca8de3ec091c0d0fa099b8aef6aee9ab7ca7..979b54e7e0bffc6f0d40879289e46a735a5496be 100644 GIT binary patch literal 10281 zcmch-Ra9J0@Gd$?kU)UoA-GF`!QCN17~I`0I0Scx3=Y8^LU1RzySvLkaCaH>&hLNk zdAjSYb)L>cuf2M&uIjzJtGmAXsv?yXq(8hTdJg~qKFG>QssI3R{Nm`AUN46Dl$N$1vpums)z-rcX^L^XSu^vDJn(}m^ zPZJo0fQo=>l_H^f_EGhL7S*T$_SF3guG=jWOU({n<07KjmhdaZ693XBC5t>;dud|Y zkU|!yPF^Y+UoG%TJ|J>TG&iouTK_k%(SJWX%Vb<*UEu+5}eayeFwbm%%%j^_2 zOaT26yW$~am|-rPKs`!EqQxmVHmG2A`Vqh3bnpCntx11TSapt-xYJ(8K}4EDk^Tz9 z*Bx53^R3pneZ?VYK)qxQQEFfy`=sR!wNNC}9@OD3ZOx0gq 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    Examples

    # print model predictions print(results$predictions) #> # A tibble: 30 × 2 -#> f1 f2 -#> <dbl> <dbl> -#> 1 9.69e- 1 0.107 -#> 2 1.00e+ 0 0.00000462 -#> 3 1.03e-11 1.00 -#> 4 1.00e+ 0 0.000000121 -#> 5 1.00e+ 0 0.0000610 -#> 6 7.97e- 6 0.999 -#> 7 2.00e- 2 0.888 -#> 8 1.00e+ 0 0.0101 -#> 9 1.72e- 6 0.999 -#> 10 8.00e- 3 0.953 +#> f1 f2 +#> <dbl> <dbl> +#> 1 5.88e- 2 0.948 +#> 2 1.00e+ 0 0.00000153 +#> 3 5.37e-10 1.00 +#> 4 1.00e+ 0 0.0000000615 +#> 5 1.00e+ 0 0.0000633 +#> 6 3.23e- 3 0.998 +#> 7 6.25e- 3 0.881 +#> 8 9.97e- 1 0.0608 +#> 9 1.89e- 4 0.999 +#> 10 2.89e- 1 0.829 #> # … with 20 more rows # print model performance @@ -745,20 +745,20 @@

    Examples

    #> # A tibble: 2 × 14 #> feature max_mpsrf train_tss_mean train_tss_std train_sensitivity_mean #> <chr> <dbl> <dbl> <dbl> <dbl> -#> 1 f1 1.32 0.799 0.0815 0.937 -#> 2 f2 1.24 0.738 0.110 0.850 +#> 1 f1 1.17 0.866 0.0651 0.958 +#> 2 f2 2.57 0.836 0.0812 0.967 #> train_sensitivity_std train_specificity_mean train_specificity_std #> <dbl> <dbl> <dbl> -#> 1 0.0577 0.861 0.0469 -#> 2 0.0710 0.889 0.0672 +#> 1 0.0421 0.909 0.0371 +#> 2 0.0453 0.869 0.0581 #> test_tss_mean test_tss_std test_sensitivity_mean test_sensitivity_std #> <dbl> <dbl> <dbl> <dbl> -#> 1 0.751 0.269 0.880 0.168 -#> 2 0.646 0.340 0.791 0.256 +#> 1 0.818 0.209 0.882 0.161 +#> 2 0.655 0.222 0.881 0.163 #> test_specificity_mean test_specificity_std #> <dbl> <dbl> -#> 1 0.871 0.180 -#> 2 0.855 0.233 +#> 1 0.935 0.0926 +#> 2 0.774 0.230 # } diff --git a/docs/reference/fit_xgb_occupancy_models.html b/docs/reference/fit_xgb_occupancy_models.html index 4a2fd78..b831223 100644 --- a/docs/reference/fit_xgb_occupancy_models.html +++ b/docs/reference/fit_xgb_occupancy_models.html @@ -19,7 +19,7 @@ surveyvoi - 1.0.4 + 1.0.5 @@ -360,16 +360,16 @@

    Examples

    #> # A tibble: 30 × 2 #> f1 f2 #> <dbl> <dbl> -#> 1 0.549 0.549 -#> 2 0.548 0.451 -#> 3 0.450 0.541 -#> 4 0.548 0.451 -#> 5 0.538 0.453 -#> 6 0.450 0.549 -#> 7 0.453 0.452 -#> 8 0.546 0.530 -#> 9 0.450 0.547 -#> 10 0.459 0.549 +#> 1 0.450 0.635 +#> 2 0.549 0.362 +#> 3 0.450 0.629 +#> 4 0.549 0.362 +#> 5 0.539 0.363 +#> 6 0.450 0.638 +#> 7 0.450 0.373 +#> 8 0.549 0.627 +#> 9 0.450 0.630 +#> 10 0.529 0.557 #> # … with 20 more rows # print model performance @@ -377,20 +377,20 @@

    Examples

    #> # A tibble: 2 × 13 #> feature train_tss_mean train_tss_std train_sensitivity_mean #> <chr> <dbl> <dbl> <dbl> -#> 1 f1 1.00 0 1.00 -#> 2 f2 0.996 0.00412 1.00 +#> 1 f1 1.00 0 1.00 +#> 2 f2 0.976 0.0142 1.00 #> train_sensitivity_std train_specificity_mean train_specificity_std #> <dbl> <dbl> <dbl> -#> 1 0 1.00 0 -#> 2 0 0.996 0.00412 +#> 1 0 1.00 0 +#> 2 0 0.976 0.0142 #> test_tss_mean test_tss_std test_sensitivity_mean test_sensitivity_std #> <dbl> <dbl> <dbl> <dbl> -#> 1 0.823 0.167 0.951 0.105 -#> 2 0.691 0.414 0.872 0.217 +#> 1 0.669 0.433 0.900 0.224 +#> 2 0.729 0.253 0.992 0.0174 #> test_specificity_mean test_specificity_std #> <dbl> <dbl> -#> 1 0.872 0.179 -#> 2 0.818 0.232 +#> 1 0.769 0.265 +#> 2 0.737 0.263 # } diff --git a/docs/reference/geo_cov_survey_scheme.html b/docs/reference/geo_cov_survey_scheme.html index de367d5..4606f71 100644 --- a/docs/reference/geo_cov_survey_scheme.html +++ b/docs/reference/geo_cov_survey_scheme.html @@ -18,7 +18,7 @@ surveyvoi - 1.0.4 + 1.0.5 diff --git a/docs/reference/index.html b/docs/reference/index.html index a462010..59dde57 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -17,7 +17,7 @@ surveyvoi - 1.0.4 + 1.0.5 diff --git a/docs/reference/n_states.html b/docs/reference/n_states.html index a71cbec..9dfde74 100644 --- a/docs/reference/n_states.html +++ b/docs/reference/n_states.html @@ -18,7 +18,7 @@ surveyvoi - 1.0.4 + 1.0.5 diff --git a/docs/reference/optimal_survey_scheme.html b/docs/reference/optimal_survey_scheme.html index b0fd569..85d42b6 100644 --- a/docs/reference/optimal_survey_scheme.html +++ b/docs/reference/optimal_survey_scheme.html @@ -19,7 +19,7 @@ surveyvoi - 1.0.4 + 1.0.5 @@ -312,14 +312,14 @@

    Examples

    #> Bounding box: xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977 #> CRS: NA #> # A tibble: 6 × 14 -#> survey…¹ manag…² f1 f2 f3 n1 n2 n3 e1 e2 p1 p2 -#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> -#> 1 3.43 43.8 1 1 0 5 5 5 -1.38 0.425 0.941 0.999 -#> 2 6.07 59.0 0 0 0 0 0 0 0.736 -1.01 0.36 0.006 -#> 3 7.09 46.7 0 0 0 0 0 0 0.754 -0.959 0.337 0.006 -#> 4 6.50 49.6 0 0 0 0 0 0 0.530 1.51 0.048 0.579 -#> 5 5.37 48.1 0 0 0 0 0 0 0.546 -0.525 0.335 0.032 -#> 6 3.35 48.9 1 0.667 0.333 3 3 3 -1.18 0.557 0.896 0.998 +#> surve…¹ manag…² f1 f2 f3 n1 n2 n3 e1 e2 p1 p2 +#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> +#> 1 14 102 1 1 1 3 3 3 1.00 -0.848 1 0.999 +#> 2 25 90 0 0 0 0 0 0 -1.44 1.27 0 0 +#> 3 25 165 1 0.6 0 5 5 5 1.25 0.817 1 0.419 +#> 4 17 104 0 0 0 0 0 0 -0.484 -0.292 0.022 0.502 +#> 5 18 100 0 0 0 0 0 0 0.0135 0.380 0.318 0.13 +#> 6 15 94 0 0 0 0 0 0 -0.347 -1.33 0.474 0.997 #> # … with 2 more variables: p3 <dbl>, geometry <POINT>, and abbreviated variable #> # names ¹​survey_cost, ²​management_cost @@ -355,11 +355,10 @@

    Examples

    # print result print(opt_survey) #> [,1] [,2] [,3] [,4] [,5] [,6] -#> [1,] FALSE TRUE FALSE FALSE FALSE FALSE -#> [2,] FALSE FALSE TRUE FALSE FALSE FALSE -#> [3,] FALSE FALSE FALSE FALSE TRUE FALSE +#> [1,] FALSE FALSE FALSE TRUE TRUE FALSE +#> [2,] FALSE TRUE FALSE FALSE FALSE TRUE #> attr(,"ev") -#> [1] 2.898206 2.898206 2.898206 +#> [1] 2.998167 2.998167 # } diff --git a/docs/reference/prior_probability_matrix.html b/docs/reference/prior_probability_matrix.html index 524ef98..0ffcaa0 100644 --- a/docs/reference/prior_probability_matrix.html +++ b/docs/reference/prior_probability_matrix.html @@ -17,7 +17,7 @@ surveyvoi - 1.0.4 + 1.0.5 @@ -171,14 +171,14 @@

    Examples

    #> Bounding box: xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977 #> CRS: NA #> # A tibble: 6 × 14 -#> survey…¹ manag…² f1 f2 f3 n1 n2 n3 e1 e2 p1 p2 -#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> -#> 1 3.43 43.8 1 1 0 5 5 5 -1.38 0.425 0.941 0.999 -#> 2 6.07 59.0 0 0 0 0 0 0 0.736 -1.01 0.36 0.006 -#> 3 7.09 46.7 0 0 0 0 0 0 0.754 -0.959 0.337 0.006 -#> 4 6.50 49.6 0 0 0 0 0 0 0.530 1.51 0.048 0.579 -#> 5 5.37 48.1 0 0 0 0 0 0 0.546 -0.525 0.335 0.032 -#> 6 3.35 48.9 1 0.667 0.333 3 3 3 -1.18 0.557 0.896 0.998 +#> surve…¹ manag…² f1 f2 f3 n1 n2 n3 e1 e2 p1 p2 +#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> +#> 1 14 102 1 1 1 3 3 3 1.00 -0.848 1 0.999 +#> 2 25 90 0 0 0 0 0 0 -1.44 1.27 0 0 +#> 3 25 165 1 0.6 0 5 5 5 1.25 0.817 1 0.419 +#> 4 17 104 0 0 0 0 0 0 -0.484 -0.292 0.022 0.502 +#> 5 18 100 0 0 0 0 0 0 0.0135 0.380 0.318 0.13 +#> 6 15 94 0 0 0 0 0 0 -0.347 -1.33 0.474 0.997 #> # … with 2 more variables: p3 <dbl>, geometry <POINT>, and abbreviated variable #> # names ¹​survey_cost, ²​management_cost @@ -202,10 +202,10 @@

    Examples

    # preview prior probability matrix print(prior_matrix) -#> [,1] [,2] [,3] [,4] [,5] [,6] -#> f1 9.999761e-01 0.2580030 0.2580030 0.2580030 0.2580030 0.9983146 -#> f2 9.999650e-01 0.2556825 0.2556825 0.8342984 0.2556825 0.6433566 -#> f3 4.363968e-07 0.2072052 0.2072052 0.8716228 0.2072052 0.0151837 +#> [,1] [,2] [,3] [,4] [,5] [,6] +#> f1 0.9983146 0.2580030 9.999761e-01 0.2580030 0.2580030 0.2580030 +#> f2 0.9978829 0.2556825 2.948501e-01 0.8342984 0.2556825 0.8342984 +#> f3 0.9936754 0.2072052 4.363968e-07 0.8716228 0.2072052 0.8716228 diff --git a/docs/reference/relative_site_richness_scores.html b/docs/reference/relative_site_richness_scores.html index 59a273d..12b4947 100644 --- a/docs/reference/relative_site_richness_scores.html +++ b/docs/reference/relative_site_richness_scores.html @@ -20,7 +20,7 @@ surveyvoi - 1.0.4 + 1.0.5 diff --git a/docs/reference/relative_site_uncertainty_scores.html b/docs/reference/relative_site_uncertainty_scores.html index 120eee2..53d73d5 100644 --- a/docs/reference/relative_site_uncertainty_scores.html +++ b/docs/reference/relative_site_uncertainty_scores.html @@ -21,7 +21,7 @@ surveyvoi - 1.0.4 + 1.0.5 diff --git a/docs/reference/sim_data.html b/docs/reference/sim_data.html index 8441734..9229e09 100644 --- a/docs/reference/sim_data.html +++ b/docs/reference/sim_data.html @@ -17,7 +17,7 @@ surveyvoi - 1.0.4 + 1.0.5 @@ -138,22 +138,22 @@

    Examples

    #> Bounding box: xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977 #> CRS: NA #> # A tibble: 6 × 14 -#> survey_cost management_cost f1 f2 f3 n1 n2 n3 e1 e2 -#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> -#> 1 3.43 43.8 1 1 0 5 5 5 -1.38 0.425 -#> 2 6.07 59.0 0 0 0 0 0 0 0.736 -1.01 -#> 3 7.09 46.7 0 0 0 0 0 0 0.754 -0.959 -#> 4 6.50 49.6 0 0 0 0 0 0 0.530 1.51 -#> 5 5.37 48.1 0 0 0 0 0 0 0.546 -0.525 -#> 6 3.35 48.9 1 0.667 0.333 3 3 3 -1.18 0.557 +#> survey_cost management_cost f1 f2 f3 n1 n2 n3 e1 e2 +#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> +#> 1 14 102 1 1 1 3 3 3 1.00 -0.848 +#> 2 25 90 0 0 0 0 0 0 -1.44 1.27 +#> 3 25 165 1 0.6 0 5 5 5 1.25 0.817 +#> 4 17 104 0 0 0 0 0 0 -0.484 -0.292 +#> 5 18 100 0 0 0 0 0 0 0.0135 0.380 +#> 6 15 94 0 0 0 0 0 0 -0.347 -1.33 #> p1 p2 p3 geometry #> <dbl> <dbl> <dbl> <POINT> -#> 1 0.941 0.999 0.057 (0.1589075 0.8637977) -#> 2 0.36 0.006 0.259 (0.9764926 0.7485368) -#> 3 0.337 0.006 0.305 (0.8362375 0.2282762) -#> 4 0.048 0.579 0.998 (0.10513 0.179855) -#> 5 0.335 0.032 0.488 (0.5985786 0.04556193) -#> 6 0.896 0.998 0.145 (0.1504241 0.6821156) +#> 1 1 0.999 0.789 (0.1589075 0.8637977) +#> 2 0 0 0.112 (0.9764926 0.7485368) +#> 3 1 0.419 0.012 (0.8362375 0.2282762) +#> 4 0.022 0.502 0.834 (0.10513 0.179855) +#> 5 0.318 0.13 0.225 (0.5985786 0.04556193) +#> 6 0.474 0.997 0.991 (0.1504241 0.6821156) diff --git a/docs/reference/simulate_feature_data.html b/docs/reference/simulate_feature_data.html index 3b43164..b48a013 100644 --- a/docs/reference/simulate_feature_data.html +++ b/docs/reference/simulate_feature_data.html @@ -17,7 +17,7 @@ surveyvoi - 1.0.4 + 1.0.5 diff --git a/docs/reference/simulate_site_data-1.png b/docs/reference/simulate_site_data-1.png index 68bfdcc6cbcfa10f017d793464cd959a49a667b9..2a5eb533b6a6d870965bfd3a026fa333a08af88e 100644 GIT binary patch literal 33367 zcmeFZcT|(v_c!{0qt1xPI2Kd{MhzfJ5fG5Bg9rfvN|9a^DN@2ni=jJ?I0Aw^p;rq< 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b/docs/reference/simulate_site_data.html index 213107f..88000d8 100644 --- a/docs/reference/simulate_site_data.html +++ b/docs/reference/simulate_site_data.html @@ -17,7 +17,7 @@ surveyvoi - 1.0.4 + 1.0.5 @@ -167,28 +167,28 @@

    Examples

    #> # A tibble: 10 × 18 #> survey_cost management_cost f1 f2 f3 f4 n1 n2 n3 n4 #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> -#> 1 2 0 0 0 0 0 0 0 0 0 -#> 2 2 0 0 0 0 0 0 0 0 0 -#> 3 2 0 1 0 0 1 1 1 1 1 -#> 4 2 0 1 0 0 0.333 3 3 3 3 -#> 5 2 0 0 0 0 0 0 0 0 0 -#> 6 3 -1 0 0 1 1 2 2 2 2 -#> 7 2 0 0 0 0 0 0 0 0 0 -#> 8 2 0 0 1 0.5 0 2 2 2 2 -#> 9 2 0 0 0 1 1 5 5 5 5 -#> 10 2 0 0 0 0 0 0 0 0 0 -#> e1 e2 e3 p1 p2 p3 p4 geometry -#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <POINT> -#> 1 -0.513 -0.997 -0.669 0.887 0 0.603 1 (0.2875775 0.9568333) -#> 2 1.00 -0.0289 0.101 0.983 0.08 0.04 0 (0.7883051 0.4533342) -#> 3 0.690 -0.641 -0.666 0.936 0 0.179 0.998 (0.4089769 0.6775706) -#> 4 0.461 -0.495 -0.226 0.982 0.001 0.107 0.551 (0.8830174 0.5726334) -#> 5 -1.15 1.62 1.31 0 1 0.976 0 (0.9404673 0.1029247) -#> 6 -1.73 -1.09 -1.22 0.007 0 0.996 1 (0.0455565 0.899825) -#> 7 0.949 0.314 0.444 0.97 0.986 0.041 0 (0.5281055 0.2460877) -#> 8 -0.976 1.50 2.01 0.274 1 0.519 0 (0.892419 0.04205953) -#> 9 0.816 0.680 -0.583 0 0 0.928 0.988 (0.551435 0.3279207) -#> 10 0.453 -0.862 -0.507 0.994 0 0.09 0.995 (0.4566147 0.9545036) +#> 1 26 68 1 0 0 1 3 3 3 3 +#> 2 22 93 0 0 0 0 0 0 0 0 +#> 3 23 69 1 0 0 1 1 1 1 1 +#> 4 22 78 1 0 0 1 3 3 3 3 +#> 5 18 81 0 0 0 0 0 0 0 0 +#> 6 30 49 0 0 1 1 2 2 2 2 +#> 7 23 125 0 0 0 0 0 0 0 0 +#> 8 11 103 0 0 0 0 0 0 0 0 +#> 9 25 68 0 0 0 0 0 0 0 0 +#> 10 21 137 1 0 0 0.4 5 5 5 5 +#> e1 e2 e3 p1 p2 p3 p4 geometry +#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <POINT> +#> 1 -0.145 -0.995 -0.223 0.998 0.004 0.091 0.993 (0.2875775 0.9568333) +#> 2 0.884 0.0440 0.0843 0.949 0.113 0.074 0 (0.7883051 0.4533342) +#> 3 0.794 -0.627 -0.637 0.957 0 0.134 0.993 (0.4089769 0.6775706) +#> 4 0.297 -0.540 -0.402 0.929 0 0.24 0.992 (0.8830174 0.5726334) +#> 5 -1.45 1.65 1.21 0 1 0.994 0 (0.9404673 0.1029247) +#> 6 -1.45 -1.13 -1.22 0.024 0 0.99 1 (0.0455565 0.899825) +#> 7 0.878 0.222 0.312 0.956 0.894 0.059 0 (0.5281055 0.2460877) +#> 8 -1.23 1.42 2.08 0.35 1 0.555 0 (0.892419 0.04205953) +#> 9 0.731 0.761 -0.990 0 0 0.991 1 (0.551435 0.3279207) +#> 10 0.685 -0.814 -0.211 0.999 0 0.02 0.117 (0.4566147 0.9545036) # plot cost data plot(d[, c("survey_cost", "management_cost")], axes = TRUE, pch = 16, diff --git a/docs/reference/surveyvoi.html b/docs/reference/surveyvoi.html index 522e660..ebcacc6 100644 --- a/docs/reference/surveyvoi.html +++ b/docs/reference/surveyvoi.html @@ -28,7 +28,7 @@ surveyvoi - 1.0.4 + 1.0.5 diff --git a/docs/reference/weighted_survey_scheme.html b/docs/reference/weighted_survey_scheme.html index 17c64bd..3395a3d 100644 --- a/docs/reference/weighted_survey_scheme.html +++ b/docs/reference/weighted_survey_scheme.html @@ -18,7 +18,7 @@ surveyvoi - 1.0.4 + 1.0.5 diff --git a/inst/WORDLIST b/inst/WORDLIST index a87f3c0..f9e1595 100644 --- a/inst/WORDLIST +++ b/inst/WORDLIST @@ -47,3 +47,5 @@ www xgboost parametrize prioritizr +config +Gurobi’ diff --git a/inst/doc/surveyvoi.html b/inst/doc/surveyvoi.html index 1c66a1c..f6aebdf 100644 --- a/inst/doc/surveyvoi.html +++ b/inst/doc/surveyvoi.html @@ -12,7 +12,7 @@ - + surveyvoi: Survey Value of Information @@ -171,7 +171,7 @@

    surveyvoi: Survey Value of Information

    Jeffrey O. Hanson

    -

    2022-08-26

    +

    2022-09-13

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(x.minCoeff() < (0.0 - 1.0e-15))) + if ((x.maxCoeff() > (1.0 + 1.0e-15)) || (x.minCoeff() < (0.0 - 1.0e-15))) Rcpp::stop(msg); return; } void assert_valid_probability_data(double x, std::string msg) { - if ((x > (1.0 + 1.0e-15)) | (x < (0.0 - 1.0e-15))) + if ((x > (1.0 + 1.0e-15)) || (x < (0.0 - 1.0e-15))) Rcpp::stop(msg); return; } diff --git a/tests/testthat.R b/tests/testthat.R index 82f6653..a03a0d5 100644 --- a/tests/testthat.R +++ b/tests/testthat.R @@ -1,9 +1,32 @@ -# load packages -library(testthat) -library(surveyvoi) +# check if on Fedora +os_name <- utils::sessionInfo()$running +is_fedora <- TRUE +if ( + is.character(os_name) && + identical(length(os_name), 1L) && + all(!is.na(os_name)) +) { + is_fedora <- any(grepl("fedora", tolower(os_name), fixed = TRUE)) +} -# enable parallel testing -Sys.unsetenv("R_TESTS") +# run tests (but not on Fedora systems) +if (isTRUE(is_fedora)) { + message("skipping tests on Fedora system") +} else { + ## load packages + library(testthat) + library(surveyvoi) -# run tests -test_check("surveyvoi") + ## enable parallel testing + Sys.unsetenv("R_TESTS") + + ## determine reporter + if (identical(Sys.getenv("CI"), "true")) { + reporter <- "progress" + } else { + reporter <- testthat::check_reporter() + } + + ## run tests + test_check("surveyvoi", reporter = reporter) +} diff --git a/tests/testthat/helper_skip_functions.R b/tests/testthat/helper_skip_functions.R index e25f039..3cc5efe 100644 --- a/tests/testthat/helper_skip_functions.R +++ b/tests/testthat/helper_skip_functions.R @@ -6,3 +6,16 @@ skip_if_parallel_processing_not_available <- function() { message = "parallel processing not available" ) } + +skip_on_fedora <- function() { + os_name <- utils::sessionInfo()$running + is_fedora <- TRUE + if ( + is.character(os_name) && + identical(length(os_name), 1L) && + all(!is.na(os_name)) + ) { + is_fedora <- any(grepl("fedora", tolower(os_name), fixed = TRUE)) + } + skip_if(isTRUE(is_fedora), message = "on Fedora") +} diff --git a/tests/testthat/test_approx_near_optimal_survey_scheme.R b/tests/testthat/test_approx_near_optimal_survey_scheme.R index 83a50b8..47a340a 100644 --- a/tests/testthat/test_approx_near_optimal_survey_scheme.R +++ b/tests/testthat/test_approx_near_optimal_survey_scheme.R @@ -216,6 +216,7 @@ test_that("consistent results", { test_that("consistent results (multiple threads)", { skip_on_cran() + skip_on_fedora() skip_on_os("windows") skip_if_parallel_processing_not_available() # seeds diff --git a/tests/testthat/test_cluster.R b/tests/testthat/test_cluster.R index e9c1594..cdf9631 100644 --- a/tests/testthat/test_cluster.R +++ b/tests/testthat/test_cluster.R @@ -2,6 +2,7 @@ context("cluster") test_that("FORK", { skip_on_cran() + skip_on_fedora() skip_on_os("windows") skip_if_parallel_processing_not_available() # data @@ -22,6 +23,7 @@ test_that("FORK", { test_that("PSOCK", { skip_on_cran() + skip_on_fedora() skip_if_parallel_processing_not_available() # data x <- seq_len(3) diff --git a/tests/testthat/test_fit_hglm_occupancy_models.R b/tests/testthat/test_fit_hglm_occupancy_models.R index c80c977..6663d80 100644 --- a/tests/testthat/test_fit_hglm_occupancy_models.R +++ b/tests/testthat/test_fit_hglm_occupancy_models.R @@ -148,6 +148,7 @@ test_that("multiple species", { test_that("multiple species (sparse, multiple threads)", { skip_on_cran() + skip_on_fedora() skip_on_os("windows") skip_if_not(suppressWarnings(is_jags_installed())) skip_if_parallel_processing_not_available() diff --git a/tests/testthat/test_optimal_survey_scheme.R b/tests/testthat/test_optimal_survey_scheme.R index 22c5cdc..88f7ac6 100644 --- a/tests/testthat/test_optimal_survey_scheme.R +++ b/tests/testthat/test_optimal_survey_scheme.R @@ -223,6 +223,7 @@ test_that("consistent results", { }) test_that("consistent results (multiple threads)", { + skip_on_cran() skip_if_not_installed("gurobi") skip_on_os("windows") # skip if using PSOCK cluster and package not installed