- 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.
- 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.
- Support named terms in bootDominanceAnalysis and bootAverageDominanceAnalysis
- Added dominanceBriefing()
- 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)
- Added parameter
terms
on dominanceAnalysis, to manually define set of variables - Updated documentation, thanks to Filipa Coutinho Soares
- Test for all relevant functions
- 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
- Complete support for OLS, logistic regression and HLM
- Support for bootstrap analysis