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Version 6.1-11

• corrections to the qBB and qNBI

Version 6.1-9 and 6.1-10

• New CRAN release, addressing various NOTEs from the CRAN checks, especially regarding the documentation.

Version 6.1-8

• The LOGSHASH is introduced as a distribution with range (0, Inf). It could be fitted before but it had to be generated by the function gen.Family, i.e. gen.Family("SHASH", "log").

• The LOGSHASHo is also introduced as a distribution in the range (0, Inf) but at the moment remains hidden.

Version 6.1-7

• the plotting functions in the file PlottingDistributions.R i.e count_1_23 e.t.c. were checked.

Version 6.1-4

• The dPO, pPO and qPO are updated so the length of y is equal to the length of mu

• the functions test_continuous_gamlss_dist() and test_discrete_gamlss_dist() are added to the package for checking distributions but the functions not have help files.

Version 6.1-3

• BCT the BCPE and the BCCG have new d, p and q functions

• the q functions for all distributions are updated so the limits are defined properly for example for the BEINF we have;

  – q[abs(p-0)<1e-15] <- 0

  – q[abs(p-1)<1e-15] <- Inf

  – q[p < 0] <- NaN

  – q[p > 1] <- NaN.

Version 6.1-2

• The GitHub repository is now hosted under the new gamlss-dev organization: https://github.com/gamlss-dev/gamlss/.

Version 6.1-1

• The package is now hosted on GitHub (mstasinopoulos/GAMLSS-Distibutions).

• Add an S3 class GAMLSS and corresponding methods encompassing all distributions from the gamlss.dist package using the workflow from the distributions3 package (contributed by Achim Zeileis). The idea is that from fitted gamlss model objects predicted probability distributions can be obtained for which moments (mean, variance, etc.), probabilities, quantiles, etc. can be obtained with corresponding generic functions. See useR! 2022 presentation by Zeileis, Lang, and Hayes for an overview of the distributions3 package.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.