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### Copyright (C) 1998, 1999
### Justin Lokhorst <jlokhors@stats.adelaide.edu.au>
### Berwin A. Turlach <bturlach@stats.adelaide.edu.au>
### Bill Venables <wvenable@stats.adelaide.edu.au>
###
### This library is free software; you can redistribute it and/or
### modify it under the terms of the GNU Library General Public
### License as published by the Free Software Foundation; either
### version 2 of the License, or (at your option) any later version.
###
### This library is distributed in the hope that it will be useful,
### but WITHOUT ANY WARRANTY; without even the implied warranty of
### MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
### Library General Public License for more details.
###
### You should have received a copy of the GNU Library General Public
### License along with this library; if not, write to the Free Software
### Foundation, Inc., 59 Temple Place, Suite 330, Boston,
### MA 02111-1307 USA
summary.l1ce <- function(object,
correlation = TRUE,
type = c("OPT", "Tibshirani"),
gen.inverse.diag = 0,
sigma = NULL, ...)
{
type <- match.arg(type)
coef <- coef(object)
cnames <- labels(coef)
resid <- resid(object)
## fv <- fitted(object)
covdf <- vcov(object,type,gen.inverse.diag)
sigma.provided <- !missing(sigma)
if(!sigma.provided)
sigma <- sqrt(deviance(object)/covdf$df[2])
se <- as.vector(sqrt(diag(covdf$cov.unscaled)))
correl <-
if(correlation) {
p <- length(se)
correl <- covdf$cov.unscaled/se
correl/se[rep(1:p,rep(p,p))]
} ## else NULL
coef <- array(coef, c(p, 4))
dimnames(coef) <- list(cnames,
c("Value", "Std. Error", "Z score", "Pr(>|Z|)"))
coef[, 2] <- se %o% sigma
coef[, 3] <- coef[, 1]/coef[, 2]
coef[, 4] <- 2*(1-pnorm(abs(coef[,3])))
keep <- c("call", "terms", "bound", "relative.bound", "Lagrangian")
object <- object[keep[!is.na(match(keep,names(object)))]]
object$residuals <- resid
object$coefficients <- coef
object$sigma <- sigma
object$sigma.provided <- sigma.provided
object$df <- covdf$df
object$cov.unscaled <- covdf$cov.unscaled
object$correlation <- correl
class(object) <- "summary.l1ce"
object
}
summary.gl1ce <- function(object, dispersion = NULL, correlation=FALSE, ...)
{
if(correlation)
stop("The `correlation' argument is not yet implemented for gl1ce objects")
## else
coef <- coef(object)
if(is.null(cnames <- names(coef)))
cnames <- c("(Intercept)", labels(object))
names(coef) <- cnames
coef <- cbind(Value = coef)# same matrix structure for consistency
keep <- c("call", "terms", "bound", "Lagrangian", "family", "iter")
object <- c(object[keep[!is.na(match(keep, names(object)))]],
list(residuals = residuals(object, type="deviance"),
coefficients = coef))
class(object) <- "summary.gl1ce"
object
}
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