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#' @title Generic function for coefficient names
#' @description Generic function for names of parameter estimates of object of class "fastCUB".
#' @aliases parnames.fastCUB
#' @param object An object of class "fastCUB"
#' @import methods
#' @return Parameter names
#' @keywords internal
#' @seealso \code{\link{summary}}
parnames <- function(object) UseMethod("parnames", object)
parnames.fastCUB<-function(object){
effe<-object$formula
# EFFE<-modello$Formula
data<-object$ellipsis$data
mf<-model.frame(effe,data=data,na.action=na.omit)
covpai<-model.matrix(effe,data=mf,rhs=1)
covcsi<-model.matrix(effe,data=mf,rhs=2)
if (ncol(covpai)==0){
Y<-NULL
} else {
if (NCOL(covpai)==2){
Y<-as.matrix(covpai[,-1])
colnames(Y)<-colnames(covpai)[2]
} else {
Y<-covpai[,-1]
}
}
if (ncol(covcsi)==0){
W<-NULL
} else {
if (NCOL(covcsi)==2){
W<-as.matrix(covcsi[,-1])
colnames(W)<-colnames(covcsi)[2]
} else {
W<-covcsi[,-1]
}
}
ellipsis<-object$ellipsis
listanomi<-c()
if (is.null(Y) & is.null(W)){
listanomi<-c("pai","csi")
}
if (!is.null(Y) & is.null(W)){
betacoef<-c()
npar<-length(object$estimates)
if (!is.null(colnames(Y))){
betacoef<-c("constant",colnames(Y))
} else {
for (j in 1:(npar-1)){
betacoef[j]<-paste("beta",j-1,sep="_")
}
}
listanomi<-c(betacoef,"csi")
}
if (is.null(Y) & !is.null(W)){
gamacoef<-c()
npar<-length(object$estimates)
if (!is.null(colnames(W))){
gamacoef<-c("constant",colnames(W))
} else {
for (j in 1:(npar-1)){
gamacoef[j]<-paste("gamma",j-1,sep="_")
}
}
listanomi<-c("pai",gamacoef)
}
if (!is.null(Y) & !is.null(W)) {
betacoef<-gamacoef<-c()
Y<-as.matrix(Y); W<-as.matrix(W)
ny<-NCOL(Y); nw<-NCOL(W);
if (is.null(colnames(Y))){
for (j in 1:(ny+1)){
betacoef[j]<-paste("beta",j-1,sep="_")
}
} else {
betacoef<-c("constant",colnames(Y))
}
if (is.null(colnames(W))){
for (j in 1:(nw+1)){
gamacoef[j]<-paste("gamma",j-1,sep="_")
}
} else {
gamacoef<-c("constant",colnames(W))
}
listanomi<-c(betacoef,gamacoef)
}
return(listanomi)
}
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