The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.