MuMIn (version 1.48.11)

MuMIn-models: List of supported models

Description

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

Details

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

• lm, glm (package stats);

• rlm, glm.nb and polr (MASS);

• multinom (nnet);

• lme, gls (nlme);

• lmer, glmer (lme4);

• cpglm, cpglmm (cplm);

• gam, gamm* (mgcv);

• gamm4* (gamm4);

• gamlss (gamlss);

• glmmML (glmmML);

• glmmadmb (glmmADMB from R-Forge);

• glmmTMB (glmmTMB);

• MCMCglmm* (MCMCglmm);

• asreml (non-free commercial package asreml; allows only for REML comparisons);

• hurdle, zeroinfl (pscl);

• negbin, betabin (class "glimML"), package aod);

• aodml, aodql (aods3);

• betareg (betareg);

• brglm (brglm);

• *sarlm models, spautolm (spatialreg);

• spml* (if fitted by ML, splm);

• coxph, survreg (survival);

• coxme, lmekin (coxme);

• rq (quantreg);

• clm and clmm (ordinal);

• logistf (logistf);

• crunch*, pgls (caper);

• maxlike (maxlike);

• most "unmarkedFit" objects from package unmarked);

• mark and related functions (class mark from package RMark). Currently dredge can only manipulate formula element of the argument model.parameters, keeping its other elements intact;

• fitdistr mostly useful for model selection with model.sel. Use of fitdistr2 wrapper function is recommended.

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

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

See Also

model.avg, model.sel and dredge.