dominanceanalysis 2.0.0

** Important API change:**

• All submodels on fit functions are calculated using update(), so all settings on original model are used on dominance analysis. If R can’t find the original dataset for update, just provide the dataset using the newdata paramater on dominanceanalysis() method.

Minor updates - Little modification on dominanceMatrix. - Added complete_flipped_axis parameter for plot() function. Added examples of flipped axis for plots. - Tests for bootstrap analysis (betareg, lmm, glm). - Added Nakagawa’s indexes for linear mixed models. See README for examples. - On beta regression test, on test we check that using different estimator generates differents results.

Bug fixes:

• Bug fix: On R-devel, correct number of controls are provided for esoph dataset, breaking a test based on that example.
• Bug fix: sort.matrix replaced to .sort.matrix to avoid sorting a standard matrix when devtools are used.
• Fixed documentation error on plot.dominanceAnalysis: default plot is for general dominance, no complete.

dominanceanalysis 1.3.0

• Added plot() method for dominanceAnalysis object.
• Added support for beta regression, using betareg package. Suggestion by Maartje Hidalgo
• Added ‘ordered’ parameter to dominanceMatrix() method
• Bug fix: Fixed some mistakes on logistic regression vignette on v1.2.0. Added some plots, to compensate.

dominanceanalysis 1.2.0

• Added documentation for da.dynlm.fit.
• Test for esoph example.
• New Acknowledgments section in README file
• Removed dependencies on caTools and heplots, because are used only for examples.
• Bug fix: Logistic regression indexes failed on some models. Null model likelihood is now correctly calculated using update(x,~1). . Report by Daniel Schlaepfer.
• Added (basic) support for dynamic linear models, using dynlm package. Suggestion by Xiong Zhang.

dominanceanalysis 1.1.0

• Support named terms in bootDominanceAnalysis and bootAverageDominanceAnalysis
• Added dominanceBriefing()

dominanceanalysis 1.0.0

• First official version. Code coverage of 99% and complete documentation of all methods.
• Added vignette “Exploring predictors’ importance in binomial logistic regressions”, by Filipa Coutinho Soares.
• Added dominanceMatrix() as a generic for matrix, data.frame and dominanceAnalysis methods
• New retrieval methods for dominanceAnalysis object: getFits(), contributionAverage() and contributionByLevel()
• Removed support for nlme (it never worked well)

dominanceanalysis 0.1.2

• Added parameter terms on dominanceAnalysis, to manually define set of variables
• Updated documentation, thanks to Filipa Coutinho Soares
• Test for all relevant functions

dominance analysis 0.1.1

• Allowed multivariate regression with covariance matrix
• Added documentation for multivariate methods
• Added bootstrap analysis for average contribution
• Resolved bug on bootstrap analysis
• Resolved bug on glm.da.fit

dominance analysis 0.1.0

• Complete support for OLS, logistic regression and HLM
  
• Support for bootstrap analysis