## File Name: brm.irf.R
## File Version: 0.11
#--- item response function (discretized) beta response model
brm.irf <- function( Theta, delta, tau, ncat, thdim=1, eps=1E-10 )
{
TP <- nrow(Theta)
K <- ncat
# compute mid points
mp <- seq( 1 / (2*(ncat) ), 1, 1/ncat )
probs <- matrix( 0, nrow=TP, ncol=K )
eps <- 1E-10
# compute beta shape parameters
m1 <- Theta[,thdim] - delta + tau
m1 <- exp( m1 / 2 )
m2 <- - Theta[,thdim] + delta + tau
m2 <- exp( m2 / 2 )
for (cc in 1:ncat){
probs[,cc] <- stats::dbeta( mp[cc], shape1=m1, shape2=m2 )
}
probs <- probs + eps
probs <- probs / rowSums(probs)
return(probs)
}
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