NEWS

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dominanceanalysis 2.1.0.9000

dominanceanalysis 2.1.0 (2024-02-05)

• Support only for R >= 4.0.0
• Updated README
• Added support for ordinal regression, using clm

dominanceanalysis 2.0.0 (2020-12-12)

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 (2020-01-08)

• 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 (2019-09-22)

• 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 (2019-01-30)

• 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.