MuMIn-models {MuMIn} | R Documentation |
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:
-
multinom
(nnet); -
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); -
aodml
,aodql
(aods3
); -
betareg
(betareg); -
brglm
(brglm); -
*sarlm
models,spautolm
(spatialreg); -
spml
* (if fitted by ML, splm); -
rq
(quantreg); -
logistf
(logistf); -
maxlike
(maxlike); most
"unmarkedFit"
objects from package unmarked);-
mark
and related functions (classmark
from package RMark). Currentlydredge
can only manipulateformula
element of the argumentmodel.parameters
, keeping its other elements intact; -
fitdistr
mostly useful for model selection withmodel.sel
. Use offitdistr2
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
.
Note
* In order to use gamm
, gamm4
, spml (> 1.0.0)
,
crunch
or MCMCglmm
with dredge
, an
updateable
wrapper for these functions should be created.
See Also
model.avg
, model.sel
and dredge
.