## File Name: predict.btm.R
## File Version: 0.07
predict.btm <- function(object, data=NULL, ...)
{
dat <- data
if (is.null(dat)){
dat <- object$dat
}
effects <- object$effects
teams <- paste(effects$individual)
pars <- object$pars
ignore.ties <- object$ignore.ties
delta <- pars[ pars$par=="delta", "est"]
eta <- pars[ pars$par=="eta", "est"]
wgt.ties <- object$wgt.ties
#- identify teams
ind1 <- match( paste(dat[,1]), teams)
ind2 <- match( paste(dat[,2]), teams)
#- compute probabilities
theta <- effects$theta
ND <- nrow(dat)
M1 <- matrix(0, nrow=ND, ncol=3)
M1[,1] <- theta[ ind1 ] + eta
M1[,2] <- theta[ ind2 ]
M1[,3] <- delta + ( theta[ ind1] + theta[ ind2 ] + eta ) * wgt.ties
probs <- exp(M1)
probs <- probs / rowSums(probs)
#-- output
return(probs)
}
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