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 function not have help files.
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
.
gamlss-dev
organization:
https://github.com/gamlss-dev/gamlss/.The package is now hosted on GitHub at https://github.com/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.