DESCRIPTION

Package: sparseHessianFD
Type: Package
Title: Numerical Estimation of Sparse Hessians
Version: 0.3.3.7
Date: 2022-10-19
Authors@R: person(family="Braun", given="Michael", role=c("aut","cre","cph"), email="braunm@smu.edu",comment=c(ORCID="0000-0003-4774-2119"))
Maintainer: Michael Braun <braunm@smu.edu>
URL: https://braunm.github.io/sparseHessianFD/, https://github.com/braunm/sparseHessianFD/
BugReports: https://github.com/braunm/sparseHessianFD/issues/
Description: Estimates Hessian of a scalar-valued function, and returns it
    in a sparse Matrix format. The sparsity pattern must be known in advance. The
    algorithm is especially efficient for hierarchical models with a large number of
    heterogeneous units.  See Braun, M. (2017) <doi:10.18637/jss.v082.i10>.
License: MPL (== 2.0)
LazyData: true
Depends:
    R (>= 4.0.0)
Imports:
    Matrix (>= 1.4),
    methods,
    Rcpp (>= 0.12.13)
Suggests:
    testthat,
    numDeriv,
    scales,
    knitr,
    xtable,
    dplyr
LinkingTo: Rcpp, RcppEigen (>= 0.3.3.3.0)
Encoding: UTF-8
VignetteBuilder: knitr
SystemRequirements: C++11
RoxygenNote: 7.2.1