Nothing
testIndTobit = function(target, dataset, xIndex, csIndex, wei = NULL, univariateModels=NULL, hash = FALSE, stat_hash=NULL, pvalue_hash=NULL){
# Conditional independence test based on the Log Likelihood ratio test
if (!survival::is.Surv(target) ) stop('The survival test can not be performed without a Surv object target');
csIndex[which(is.na(csIndex))] = 0;
if ( hash ) {
csIndex2 = csIndex[which(csIndex!=0)]
csindex2 = sort(csIndex2)
xcs = c(xIndex,csIndex2)
key = paste(as.character(xcs) , collapse=" ");
if (is.null(stat_hash[key]) == FALSE) {
stat = stat_hash[key];
pvalue = pvalue_hash[key];
results <- list(pvalue = pvalue, stat = stat, stat_hash=stat_hash, pvalue_hash=pvalue_hash);
return(results);
}
}
#initialization: these values will be returned whether the test cannot be carried out
pvalue = log(1);
stat = 0;
results <- list(pvalue = pvalue, stat = stat, stat_hash=stat_hash, pvalue_hash=pvalue_hash);
tob <- NULL;
tob_full <- NULL;
#if the censored indicator is empty, a dummy variable is created
if ( length(csIndex) == 0 || sum(csIndex == 0, na.rm = TRUE) > 0 ) {
tob <- survival::survreg(target ~ ., data = as.data.frame( dataset[, xIndex] ), weights = wei, dist = "gaussian")
dof <- length( coef(tob) ) - 1
stat <- 2 * abs( diff(tob$loglik) )
pvalue <- pchisq(stat, dof, lower.tail = FALSE, log.p = TRUE);
} else {
tob <- survival::survreg(target ~ ., data = as.data.frame( dataset[, csIndex] ), weights = wei, dist = "gaussian")
tob_full <- survival::survreg(target ~ ., data = as.data.frame( dataset[, c(csIndex, xIndex)] ), weights = wei, dist = "gaussian")
res <- anova(tob, tob_full)
stat <- res[2, 6] ;
dF <- res[2, 5];
pvalue = pchisq(stat, dF, lower.tail = FALSE, log.p = TRUE)
}
if ( is.na(pvalue) || is.na(stat) ) {
pvalue <- log(1);
stat <- 0;
} else {
#update hash objects
if( hash ) {
stat_hash[key] <- stat; #.set(stat_hash , key , stat)
pvalue_hash[key] <- pvalue; #.set(pvalue_hash , key , pvalue)
}
}
results <- list(pvalue = pvalue, stat = stat, stat_hash=stat_hash, pvalue_hash=pvalue_hash);
return(results);
}
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