AICcmodavg 1.12 Ranking & Summary
AICcmodavg 1.12 description
AICcmodavg 1.12 is a useful and effective application that includes functions to create model selection tables based on Akaike's information criterion (AIC) and the second-order AIC (AICc), as well as their quasi-likelihood counterparts (QAIC, QAICc). Tables are printed with delta AIC and Akaike weights.
The package also includes functions to conduct model averaging (multimodel inference) for a given parameter of interest or predicted values. Other handy functions enable the computation of relative variable importance, evidence ratios, and confidence sets for the best model. The present version works with linear models ('lm' class), generalized linear models ('glm' class), linear models fit by generalized least squares ('gls' class), linear mixed models ('lme' class), generalized linear mixed models ('mer' class), multinomial and ordinal logistic regressions ('multinom' and 'polr' classes).
- Fixed minor bug in 'modavgpred.lme' that generated error message when second.ord = FALSE
- Fixed minor bug by dispatching 'mer' class objects to AICc.mer( )
- Fixed minor bug with incorrect computation of n for 'mer' models with binomial distribution using cbind(incidence, size - incidence) or binary syntax
- R for Windows
AICcmodavg 1.12 Screenshot
AICcmodavg 1.12 Keywords
Bookmark AICcmodavg 1.12
AICcmodavg 1.12 Copyright
Want to place your software product here?
Please contact us for consideration.