MuMIn (version 1.9.5)

MuMIn-models: List of supported models

Description

List of model classes accepted by model.avg, model.sel, and dredge.

encoding

utf-8

Details

Fitted model objects that can be used with model selection and model averaging functions include those returned by:

• lm,glm(packagestats);
• rlm,glm.nbandpolr(MASS);
• multinom(nnet);
• lme,gls(nlme);
• lmer,glmer(lme4);
• gam,gamm* (mgcv);
• gamm4* (gamm4);
• glmmML(glmmML);
• glmmadmb(glmmADMBfrom R-Forge);
• hurdle,zeroinfl(pscl);
• negbin,betabin(classglimML, packageaod);
• sarlm,spautolm(spdep);
• spml(if fitted byML,splm);
• coxph,survreg(survival);
• coxme,lmekin(coxme);
• rq(quantreg);
• clmandclmm(ordinal);
• logistf(logistf); %% Bias-reduced logistic regression
• crunch*,pgls(caper);
• functions from packageunmarked(within the classunmarkedFit);
• markand related functions (classmarkfrom packageRMark). Note currentlydredgecan only manipulateformulaelement of the argumentmodel.parameters, keeping its other elements intact.

Generalized Estimation Equation model implementations: geeglm from package geepack, gee from gee, and yags from yags (from R-Forge) can be used with QIC as the selection criterion.

MCMCglmm* models (package MCMCglmm) with DIC as the rank function are accepted by model.sel and dredge.

Other classes are also likely to be supported, in particular if they inherit from one of the above classes. In general, the models averaged with model.avg may belong to different types (e.g. glm and gam), provided they use the same data and response, and if it is valid to do so. This applies also to constructing model selection tables with model.sel.

See Also

model.avg, model.sel and dredge.