dominanceanalysis 2.1.1
- Examples now use fewer iterations, reducing test run time.
- Replaced
is.ggplot(p1) with is_ggplot(p1)
in tests.
- Added
[] in documentation for package references.
- Removed
docType: Package from documentation.
dominanceanalysis 2.1.0
- Support only for R >= 4.0.0
- Updated README
- Added support for ordinal regression, using clm
dominanceanalysis 2.0.0
Important API Change:
- All submodels in fit functions are now calculated using update(),
ensuring that all settings of the original model are used in the
dominance analysis. If R cannot find the original dataset for update,
provide the dataset using the newdata parameter in the
dominanceanalysis() method.
Minor Updates: - Minor modification in dominanceMatrix. - Added
complete_flipped_axis parameter for the plot() function. Included
examples of flipped axis for plots. - Tests for bootstrap analysis
(betareg, lmm, glm). - Added Nakagawa’s indexes for linear mixed models.
Refer to README for examples. - In the beta regression test, we check
that using different estimators generates different results.
Bug Fixes: - On R-devel, corrected the number of controls provided
for the esoph dataset, fixing a test based on that example. - Replaced
sort.matrix with .sort.matrix to prevent sorting a standard matrix when
devtools are used. - Fixed documentation error in
plot.dominanceAnalysis: the default plot is for general dominance, not
for complete dominance.
dominanceanalysis 1.3.0
- Added plot() method for dominanceAnalysis objects.
- Added support for beta regression using the betareg package.
Suggested by Maartje Hidalgo.
- Added ‘ordered’ parameter to the dominanceMatrix() method.
- Bug fix: Corrected errors in the logistic regression vignette from
v1.2.0 and added some plots for clarification.
dominanceanalysis 1.2.0
- Added documentation for da.dynlm.fit.
- Test for the esoph example.
- New Acknowledgments section in the README file.
- Removed dependencies on caTools and heplots, as they are only used
in examples.
- Bug fix: Fixed issue where logistic regression indexes failed in
some models. Null model likelihood is now correctly calculated using
update(x, ~1). Reported by Daniel Schlaepfer.
- Added basic support for dynamic linear models using the dynlm
package. Suggested by Xiong Zhang.
dominanceanalysis 1.1.0
- Support for named terms in bootDominanceAnalysis and
bootAverageDominanceAnalysis.
- Added dominanceBriefing().
dominanceanalysis 1.0.0
- First official version. Code coverage of 99% and complete
documentation for all methods.
- Added vignette “Exploring Predictors’ Importance in Binomial
Logistic Regressions” by Filipa Coutinho Soares.
- Introduced dominanceMatrix() as a generic for matrix, data.frame,
and dominanceAnalysis methods.
- New retrieval methods for the dominanceAnalysis object: getFits(),
contributionAverage(), and contributionByLevel().
- Removed support for nlme (it never worked well).
dominanceanalysis 0.1.2
- Added
terms parameter in dominanceAnalysis to manually
define a set of variables.
- Updated documentation, thanks to Filipa Coutinho Soares.
- Test for all relevant functions.
dominanceanalysis 0.1.1
- Allowed multivariate regression with a covariance matrix.
- Added documentation for multivariate methods.
- Added bootstrap analysis for average contribution.
- Resolved bugs in bootstrap analysis and glm.da.fit.
dominanceanalysis 0.1.0
- Complete support for OLS, logistic regression, and HLM.
- Support for bootstrap analysis.