supported-classes: List of supported models

In MuMIn: Multi-Model Inference

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:

• \lcode

  lm, \lcodeglm (package stats);

• \lxcode

  rlmMASS, \lxcodeglm.nbMASS and \lxcodepolrMASS (MASS);

• \lxcode

  multinomnnet (nnet);

• \lxcode

  lmenlme, \lxcodeglsnlme (nlme);

• \lxcode

  lmerlme4, \lxcodeglmerlme4 (lme4);

• \lxcode

  cpglmcplm, \lxcodecpglmmcplm (cplm);

• \lxcode

  gammgcv, \lxcodegammmgcv* (mgcv);

• \lxcode

  gamm4gamm4* (gamm4);

• \lxcode

  gamlssgamlss (gamlss);

• \lxcode

  glmmMLglmmML (glmmML);

• glmmadmb (glmmADMB from R-Forge);

• \lxcode

  glmmTMBglmmTMB (glmmTMB);

• \lxcode

  MCMCglmmMCMCglmm* (MCMCglmm);

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

• \lxcode

  hurdlepscl, \lxcodezeroinflpscl (pscl);

• \lxcode

  negbinaod, \lxcodebetabinaod (class "glimML"), package aod);

• \unlxcode

  aodmlaods3, \unlxcodeaodqlaods3 (\unCRANpkgaods3);

• \lxcode

  betaregbetareg (betareg);

• \lxcode

  brglmbrglm (brglm);

• *sarlm models, \lxcodespautolmspatialreg (spatialreg);

• \lxcode

  spmlsplm* (if fitted by ML, splm);

• \lxcode

  coxphsurvival, \lxcodesurvregsurvival (survival);

• \lxcode

  coxmecoxme, \lxcodelmekincoxme (coxme);

• \lxcode

  rqquantreg (quantreg);

• \lxcode

  clmordinal and \lxcodeclmmordinal (ordinal);

• \lxcode

  logistflogistf (logistf);

• \lxcode

  crunchcaper*, \lxcodepglscaper (caper);

• \lxcode

  maxlikemaxlike (maxlike);

• most "unmarkedFit" objects from package unmarked);

• \lxcode

  markRMark 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;

• \lxcode

  fitdistrMASS mostly useful for model selection with model.sel. Use of \lxcodefitdistr2=updateable wrapper function is recommended.

Generalized Estimation Equation model implementations: \lxcodegeeglmgeepack from package geepack, \lxcodegeegee from gee, \lxcodegeemgeeM from geeM, \unlxcodewgeewgeesel from \unCRANpkgwgeesel, and yags from yags (on R-Forge) can be used with \lcodeQIC 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.

Note

* In order to use gamm, gamm4, spml (> 1.0.0), crunch or MCMCglmm with dredge, an \lcodeupdateable wrapper for these functions should be created.

See Also

\lcode

model.avg, \lcodemodel.sel and \lcodedredge.

MuMIn documentation built on April 1, 2025, 3 a.m.