glmulti-methods {glmulti} | R Documentation |
Methods for Function glmulti: different ways to call glmulti
Description
codeglmulti finds what are the n
best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
Models are fitted with the specified fitting function (default is glm
) and are ranked with the specified Information Criterion (default is aic
).
The best models are found either through exhaustive screening of the candidates or using a genetic algorithm, which allows very large candidate sets to be adressed.
The output can be used for model selection, variable selection, and multimodel inference.
Methods
- y = "ANY", xr = "ANY", data = "ANY", exclude = "ANY"
This will stop with a warning that an improper call has been attempted.
- y = "character", xr = "character", data = "ANY", exclude = "ANY"
Calling
glmulti
with the names of the response variable and of the predictors as character strings. This is the original interface used in versions earlier than 0.6-1.- y = "character", xr = "missing", data = "ANY", exclude = "missing"
-
Calling
glmulti
with a model formula represented as a character string. E.g."u~c+x"
- y = "formula", xr = "missing", data = "ANY", exclude = "missing"
-
Calling
glmulti
with a model formula containing all the terms to be included in candidate models. E.g.u~c+x
- y = "list", xr = "ANY", data = "ANY", exclude = "ANY"
-
Calling
glmulti
on a list of (fitted) model objects. Models will not be refitted, but the information criteria will be computed and a regularglmulti
object is returned. - y = "glm", xr = "missing", data = "ANY", exclude = "missing"
-
Calling
glmulti
with aglm
object from which the formula and other parameters will be extracted. - y = "lm", xr = "missing", data = "ANY", exclude = "missing"
-
Calling
glmulti
on alm
object from which the formula and other parameters will be extracted. - y = "missing", xr = "ANY", data = "ANY", exclude = "ANY"
-
If
y
is missing theglmulti
version currently used is printed.