This is a simple wrapper around functions from the scoringRules
package for predictions with a LN(meanlog, sdlog)
distribution. The function is vectorized and preserves the dimension of
the input.
scores_lnorm(x, meanlog, sdlog, which = c("dss", "logs"))the observed counts.
parameters of the log-normal distribution, i.e., mean and standard deviation of the distribution on the log scale.
a character vector specifying which scoring rules to apply. The
Dawid-Sebastiani score ("dss") and the logarithmic score ("logs")
are available and both computed by default.
scores for the predictions of the observations in x (maintaining
their dimensions).