Tim Cole's suggestion in predictAll() is added. This is to deal with the problem when mu is fixed.
Tim Cole's suggestion in summary()is added. This to fix the problem when y~0, (that is, when there are no df's), to be incorporated in the summary.gamlss().
predict() do not print the message "new prediction"
stepGAIC() produce less lines in the output
The package is now hosted on GitHub at https://github.com/gamlss-dev/gamlss/.
Add a new prodist() method for extracting fitted (in-sample) or predicted
(out-of-sample) probability distributions from gamlss models (contributed by
Achim Zeileis). This enables the workflow from the
distributions3 package for all
distributions provided by gamlss.dist. The idea is that the distributions3
objects encapsulate all information needed to obtain moments (mean, variance,
etc.), probabilities, quantiles, etc. with a unified interface. See the
useR! 2022 presentation by
Zeileis, Lang, and Hayes for an overview.