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); -
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.
Generalized Estimation Equation model implementations:
geeglm
from package geepack,
gee
from gee,
geem
from geeM,
wgeesel
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
.
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
.