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## File Name: tamaanify.tam.mml.3pl.designMatrices.TRAIT.R
## File Version: 9.082
######################################
# TRAIT
tamaanify.tam.mml.3pl.designMatrices.TRAIT <- function( res ){
anlist <- res$ANALYSIS.list
items <- colnames(res$resp)
I <- length(items)
itemtable <- res$items
#*****
# gammaslope parameters
# res$gammaslope.fixed <- NULL
res$gammaslope.prior <- NULL
res$gammaslope.des <- "2PL"
# define appropriate E matrix
# items x categories x dimensions x parameters
# define also a B.fixed input option
Q <- res$Q
Q.fixed <- NULL
B_fix <- res$B.fixed
if ( ! is.null(B_fix) ){
Q.fixed <- NA*Q
colnames(B_fix) <- c("item_index", "cat", "dim", "value")
B_fix <- B_fix[ B_fix[,"cat"]==2,, drop=FALSE ]
h1 <- B_fix[, c("item_index", "dim") ]
Q.fixed[ h1 ] <- B_fix[, "value"]
}
res$Q.fixed <- Q.fixed
#*****
# calculate guessing parameters
res$est.guess <- NULL
res$guess <- NULL
res$guess.prior <- NULL
lavpartable <- res$lavpartable
ind <- which( lavpartable$op=="?=" )
lav1 <- lavpartable[ ind, ]
if ( nrow(lav1) > 0){
# include labels
labs <- paste0( lav1$lhs, "_guess" )
lav1$label <- ifelse( paste(lav1$label) !="",
paste(lav1$label), labs )
lavpartable[ind,] <- lav1
res$lavpartable <- lavpartable
I <- length(items)
est.guess <- rep(0,I)
names(est.guess) <- items
lav1$item.index <- match( paste(lav1$lhs), items )
lav1$ustart <- ifelse( is.na( lav1$ustart), .2, lav1$ustart )
guess.labels <- unique(paste(lav1$label))
est.guess[ lav1$item.index] <-
match( paste(lav1$label), guess.labels )
guess <- 0 * est.guess
guess[ paste(lav1$lhs) ] <- lav1$ustart
names(guess) <- names(est.guess) <- NULL
res$guess <- guess
res$est.guess <- est.guess
res$method <- "tam.mml.3pl"
}
return(res)
}
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