Description Details Note See Also
List of model classes accepted by model.avg
, model.sel
,
and dredge
.
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);
functions from package unmarked (within the class
"unmarkedFit"
);
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.
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.
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
.
* In order to use gamm
, gamm4
, spml (> 1.0.0)
,
crunch
or MCMCglmm
with dredge
, an
updateable
wrapper for these functions should be created.
model.avg
, model.sel
and dredge
.
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