Revision 10ef4410c16710d7caf8c0882b7efbac894d49ed authored by M. Helena GonÃ§alves on 22 September 2012, 00:00:00 UTC, committed by Gabor Csardi on 22 September 2012, 00:00:00 UTC
1 parent 3f407ee
summary-methods.Rd
\name{summary-methods}
\docType{methods}
\alias{summary-methods}
\alias{summary,bild-method}
\title{Methods for Function summary in package "bild"}
\description{ Summarize objects}
\usage{
\S4method{summary}{bild}(object, cov=FALSE, cor=FALSE)}
\arguments{
\item{object}{an object of class \code{\link[=bild-class]{bild}}.}
\item{cov}{if set to TRUE prints the matrix of covariances between parameters estimates. The default is FALSE.}
\item{cor}{if set to TRUE prints the matrix of correlations between parameters estimates. The default is FALSE.}
}
\details{ Computes and returns a list of summary statistics of the fitted linear model given a \code{bild} object,
using the components (list elements) "call" and "terms" from its argument, plus
depending on the structure of the dependence model chosen, the table for the estimates of coefficients will appear
\code{log.psi1} if the dependence structure of the process corresponds to a first-order
Markov chain, or both \code{log.psi1} and \code{log.psi2} if the dependence structure of the process corresponds
to a second-order Markov chain. \code{log.psi1} is the log-odds ratio between adjacent observations and
\code{log.psi2} is the logarithm of conditional odds ratio for observations separated by one time point.
If the structure of the dependence model chosen includes the random intercept (models "\code{indR}", "\code{MC1R}" and "\code{MC2R}")
the estimate of the random effect (\code{omega}) will also appear where \eqn{\omega=\log\sigma^2}{\omega=log(\omega^2)}.}
\section{Methods}{
\describe{
\item{\code{signature(object = "ANY")}:}{Generic function.}
\item{\code{signature(object = "bild")}:}{Generate a summary as an object of class