https://github.com/cran/MuMIn
Tip revision: 1834bb90bade3912317a15c9b7c19771f19cf6dc authored by Kamil Bartoń on 22 June 2024, 14:10:02 UTC
version 1.48.4
version 1.48.4
Tip revision: 1834bb9
merge.model.selection.Rd
\name{merge.model.selection}
\alias{merge.model.selection}
\alias{rbind.model.selection}
\alias{append.model.selection}
\encoding{utf-8}
\title{Combine model selection tables}
\description{Combine two or more model selection tables. }
\usage{
\method{merge}{model.selection}(x, y, suffixes = c(".x", ".y"), ...)
\method{rbind}{model.selection}(..., deparse.level = 1, make.row.names = TRUE)
}
\arguments{
\item{x, y, \dots}{\code{model.selection} objects to be combined.
(\dots ignored in \code{merge})}
\item{suffixes}{a character vector with two elements that are appended
respectively to row names of the combined tables.}
\item{make.row.names}{logical indicating if unique and valid \code{row.names} should
be constructed from the arguments. }
\item{deparse.level}{ignored. }
}
\value{
A \code{\link[=model.selection.object]{"model.selection" object}} containing
models (rows) from all provided tables.
}
\note{
Both \ifelse{latex}{\eqn{\Delta_{IC}}}{\enc{Δ}{Delta}_IC} values and
\emph{Akaike weights} are recalculated in the resulting tables.
Models in the combined model selection tables must be comparable, i.e. fitted to
the same data, however only very basic checking is done to verify that. The
models must also be ranked by the same information criterion.
Unlike the \code{merge} method for \code{data.frame}, this method appends
second table to the first (similarly to \code{rbind}).
}
\author{Kamil Barto\enc{ń}{n}}
\seealso{
\code{\link{dredge}}, \code{\link{model.sel}}, \code{\link{merge}},
\code{\link{rbind}}.
}
\examples{
\dontrun{
require(mgcv)
ms1 <- dredge(glm(Prop ~ dose + I(dose^2) + log(dose) + I(log(dose)^2),
data = Beetle, family = binomial, na.action = na.fail))
fm2 <- gam(Prop ~ s(dose, k = 3), data = Beetle, family = binomial)
merge(ms1, model.sel(fm2))
}
}
\keyword{manip}