Revision ade4b694b3f416d6b195ddcd584d6f89ef36ea2f authored by M. Helena Gon\xe7alves on 28 January 2012, 00:00:00 UTC, committed by Gabor Csardi on 28 January 2012, 00:00:00 UTC
1 parent 8cb2c8d
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{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{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