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prepared addition of thresholds se

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Corentin Choisy
2025-06-03 17:51:47 +02:00
parent de01f2d837
commit 1867a42c52
1 changed files with 14 additions and 0 deletions
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14
R/pcm.R
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@ -99,10 +99,14 @@ pcm <- function(df=NULL,items=NULL,grp=NULL,dif.items=NULL,type.dif=NULL,weights
mod <- olmm(resp ~ 0 + ce(item) + re(0|id),data=df.long,family = adjacent(link = "logit"),weights = df.long$weights,na.action = na.action)
}
comod <- coef(mod)
comod.se <- sqrt(diag(vcov(mod)))
# output results
restab <- t(sapply(1:nbitems,function(x) comod[seq(x,length(comod)-1,nbitems)]))
restab.se <- t(sapply(1:nbitems,function(x) comod.se[seq(x,length(comod.se)-1,nbitems)]))
rownames(restab) <- paste0("item",1:nbitems)
colnames(restab) <- paste0("delta_",1:maxmod)
rownames(restab.se) <- paste0("item",1:nbitems)
colnames(restab.se) <- paste0("delta_",1:maxmod)
restab.dif <- NULL
beta <- NULL
}
@ -158,12 +162,15 @@ pcm <- function(df=NULL,items=NULL,grp=NULL,dif.items=NULL,type.dif=NULL,weights
mod <- olmm(formudif,data=df.long,family = adjacent(link = "logit"),control=olmm_control(fit=fit),weights = df.long$weights,na.action = na.action)
}
comod <- coef(mod)
comod.se <- sqrt(diag(vcov(mod)))
# output results
nbcoef <- nbitems+length(difvar.nonunif)
if (is.null(weights)) {
restab <- t(sapply(1:nbcoef,function(x) comod[seq(x,length(comod)-2-length(difvar.unif),nbitems+length(difvar.nonunif))]))
restab.se <- t(sapply(1:nbcoef,function(x) comod.se[seq(x,length(comod.se)-2-length(difvar.unif),nbitems+length(difvar.nonunif))]))
} else {
restab <- t(sapply(1:nbcoef,function(x) comod[seq(x,length(comod)-2-length(difvar.unif),nbitems+length(difvar.nonunif))]))
restab.se <- t(sapply(1:nbcoef,function(x) comod.se[seq(x,length(comod.se)-2-length(difvar.unif),nbitems+length(difvar.nonunif))]))
}
difcoef.unif <- NULL
if (length(difvar.unif)>0) {
@ -197,6 +204,8 @@ pcm <- function(df=NULL,items=NULL,grp=NULL,dif.items=NULL,type.dif=NULL,weights
restab <- restab[1:nbitems,]
rownames(restab) <- items_o
colnames(restab) <- paste0("delta_",1:maxmod)
rownames(restab.se) <- items_o
colnames(restab.se) <- paste0("delta_",1:maxmod)
restab.dif <- rbind(difcoef.nonunif,difcoef.unif)
restab.diftype <- matrix(ifelse(type.dif==1,"HOMOGENEOUS","NON-HOMOGENEOUS"))
restab.diftype <- noquote(restab.diftype)
@ -250,14 +259,19 @@ pcm <- function(df=NULL,items=NULL,grp=NULL,dif.items=NULL,type.dif=NULL,weights
mod <- olmm(resp ~ 0 + ge(grp) + ce(item) + re(0|id),data=df.long,family = adjacent(link = "logit"),control=olmm_control(fit=fit),weights=df.long$weights,na.action = na.action)
}
comod <- coef(mod)
comod.se <- sqrt(diag(vcov(mod)))
# output results
if (is.null(weights)) {
restab <- t(sapply(1:nbitems,function(x) comod[seq(x,length(comod)-2,nbitems)]))
restab.se <- t(sapply(1:nbitems,function(x) comod.se[seq(x,length(comod.se)-2,nbitems)]))
} else {
restab <- t(sapply(1:nbitems,function(x) comod[seq(x,length(comod)-2,nbitems)]))
restab.se <- t(sapply(1:nbitems,function(x) comod.se[seq(x,length(comod.se)-2,nbitems)]))
}
rownames(restab) <- items_o
colnames(restab) <- paste0("delta_",1:maxmod)
rownames(restab.se) <- items_o
colnames(restab.se) <- paste0("delta_",1:maxmod)
restab.dif <- NULL
beta <- comod[length(comod)-1]
se.beta <- (confint(mod)["grp",2]-beta)/1.96