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nestfs 1.0.3 (2022-12-13)

  • Report an error if the initial model contains all the available variables.

nestfs 1.0.2 (2022-05-04)

  • Skip test on CRAN to avoid failure reported by R-devel with OpenBLAS.

nestfs 1.0.1 (2022-02-21)

  • Remove test that will fail due changes in R-devel.

nestfs 1.0 (2019-09-21)

  • Introduce the fs() and nested.fs() functions which adopt a new interface based on formulas
  • Change the interface of nested.glm() to align to the new formula interface.
  • Change default values for the max.iters (from 15 to 10) and min.llk.diff (from 0 to 2) options.
  • Replace the parallel computation backend from the doParallel to the parallel package.
  • Restructure the diabetes dataset to be a single data frame.
  • Update and expand the example in the README file.
  • Use markdown in the package documentation.
  • Include tests in the package.

nestfs 0.9.2 (2019-05-02)

  • Silence messages output by newer versions of the pROC package.

nestfs 0.9.1 (2018-12-16)

  • Change maintainer email address.

nestfs 0.9 (2018-09-25)

  • Use getfullname() if available also in summary.fs().
  • Make nested.glm() accept a formula argument so that models with interaction terms can be specified. This also ensures that such models are fitted correctly in nested.forward.selection() after selection has been performed.
  • Add the family field and assign a class to the object created by nested.glm().
  • Add nested.performance() to compute the performance of cross-validated models as the area under the curve or the correlation coefficient.

nestfs 0.8.6 (2018-08-13)

  • Document the default selection criterion.
  • Correct the check for the verbose option in nested.forward.selection().
  • Fix an error occurring in nested.forward.selection() when a categorical variable is selected.

nestfs 0.8.5 (2018-08-02)

  • Make the univariate filter cope with non-matching names in filter.ignore.
  • Parallelise the univariate filtering step.
  • Add the verbose option to forward.selection().
  • Return the coefficients of summary() instead of summary() itself from nested.glm().
  • Swap family and folds in nested.glm() for consistency with other functions.
  • Add tests for nested.glm().

nestfs 0.8.4 (2018-07-04)

  • Close the parallel clusters at the end of the examples.
  • Vectorize the computation of differences in log-likelihoods at iteration 1.
  • First version on CRAN.

nestfs 0.8.3 (2018-07-03)

  • Rewrite the examples to satisfy the CRAN upload request.
  • Decrease the minimum number of inner folds to 5.

nestfs 0.8.2 (2018-06-29)

  • Use family$dev.resids() to compute log-likelihoods.
  • Fix forward.selection() when there's only one variable to choose from.
  • Allow to specify variable names in the choose.from argument and not only indices.
  • Allow more freedom in how the outcome variable can be specified for logistic regression.
  • Rename parameters x.all, y.all and all.folds to x, y, and folds.
  • Merge init.vars and init.model to make formulas a first class input type.
  • Rework the diabetes dataset and save it in .rda format.
  • Replace the doMC package with doParallel.
  • Remove automatic registration of the parallel backend when attaching the package to pass checks on the R-devel win-builder machine.
  • Add tests for forward.selection() and nested.forward.selection().

nestfs 0.8.1 (2018-06-21)

  • Sort the indices of the test observations within each fold.
  • Reorder some arguments of forward.selection() according to importance.
  • Improve the argument checks in forward.selection().
  • Let the family argument also be one of the family functions.
  • Add tests for argument checks.

nestfs 0.8 (2017-07-03)

  • Limit the variable names in the output to the length of the field.
  • Clarify that the p-value from forward selection is a false discovery rate.
  • Convert documentation to roxygen2 format.

nestfs 0.7.20160815 (2016-08-15)

  • Check that the indices in the folds don't exceed the size of the dataset.
  • Make the init.model option work in more cases.

nestfs 0.7.20150729 (2015-07-29)

  • Check for missing values in the predictors and in the outcome variable.
  • Return only the right-hand side of the formula in final.model from forward.selection().

nestfs 0.7 (2013-12-21)

  • First version of the package.