##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (logr, emfit, zgroup, times)
{
gz <- predict(emfit, newdata = logr)$z
gz[is.nan(gz)] <- 0
gz <- gz %*% t(zgroup)
gz <- matrix(ncol = ncol(gz), data = apply(gz, 2, cumsum)[seq(from = times,
to = nrow(gz), by = times), ]/times)
return(gz - rbind(matrix(nrow = 1, data = rep(0, ncol(gz))),
matrix(ncol = ncol(gz), data = gz[-nrow(gz), ])))
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