Nothing
################################################################################
# Sum the rows of a matrix that is on a log(e) scale, implementing
# log(sum(exp(x.i))) = x.0 + log(sum(exp(x.i - x.0)))
# where the x's are sorted and x.0 is the largest value.
# We remove values that are more than 35 logs less than the maximum value.
# Note that exp(-35) ~ 10^-16.
rowSumsLog = function(logmat) {
max.index = apply(logmat, 1, which.max) + 0:(nrow(logmat) - 1) * ncol(logmat)
retval = logmat[max.index]
logmat[max.index] = NA
logmat = logmat - retval
logmat[logmat < get.machine.precision()] = NA
retval = retval + log1p(rowSums(exp(logmat), na.rm = TRUE))
return(retval)
} # rowSumsLog
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.