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summary.robmixglm <- function(object, ...) {
if (!inherits(object, "robmixglm"))
stop("Use only with 'robmixglm' objects.\n")
out <- list()
out$logLik <- logLik(object)
out$AIC <- AIC(object)
out$BIC <- BIC(object)
coefficients <- matrix(object$fit@coef,ncol=1)
coefficients[,1] <- ifelse(!(object$coef.names=="Outlier p."),coefficients[,1],1.0/(1.0+exp(-coefficients)))
lastnames <- 2
if (object$family %in% c("gaussian","gamma","nbinom")) lastnames <- 3
coef.se <- sqrt(diag(object$fit@vcov))
coef.se[(length(coefficients[,1])-lastnames+1):length(coefficients[,1])] <- NA
coefficients <- cbind(coefficients,coef.se)
coefficients <- cbind(coefficients,coefficients[,1]/coefficients[,2])
coefficients <- cbind(coefficients,2*(1-pnorm(abs(coefficients[,3]))))
dimnames(coefficients)[[1]] <- object$coef.names
dimnames(coefficients)[[2]] <- c("Estimate","Std. Error","z value","Pr(>|z|)")
out$coefficients <- coefficients
class(out) <- "summary.robmixglm"
out
}
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