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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.

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.
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