Changes in version 1.0.3 (2022-12-13)                  

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

                 Changes in version 1.0.2 (2022-05-09)                  

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

                 Changes in version 1.0.1 (2022-02-21)                  

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

                  Changes in version 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.

                 Changes in version 0.9.2 (2019-05-02)                  

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

                 Changes in version 0.9.1 (2018-12-16)                  

  - Change maintainer email address.

                  Changes in version 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.

                 Changes in version 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.

                 Changes in version 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().

                 Changes in version 0.8.4 (2018-07-05)                  

  - 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.

                        Changes in version 0.8.3                        

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

                        Changes in version 0.8.2                        

  - 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().

                        Changes in version 0.8.1                        

  - 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.

                         Changes in version 0.8                         

  - 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.

                    Changes in version 0.7.20160815                     

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

                    Changes in version 0.7.20150729                     

  - 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().

                         Changes in version 0.7                         

  - First version of the package.