Changes in version 5.5-3                        

  - function LR_test is modified to allow 'gamlss2' objects.

  - the functions GAIC() and Rsq() are now generic function

                        Changes in version 5.5-1                        

  - the functions Rsq() and GAIC() have become generic function so they
    can be used in conjunction with the package gamlss2

  - the functions GAIC.scaled() and GAIC.table() have been renamed as
    GAIC_scaled() and GAIC_table(), respectively, so the name do not
    class with the generic function GAIC().

                       Changes in version 5.4-23                        

  - 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().

                       Changes in version 5.4-21                        

  - predict() do not print the message "new prediction"

  - stepGAIC() produce less lines in the output

                 Changes in version 5.4-20 (2023-10-04)                 

  - 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.