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The GAMLSS models  are implemented in a series of packages in the R language (R Development Core Team, 2013), and they are available from CRAN the R library at


The following is a list of different packages created from the gamlss team:

* the original gamlss package for fitting GAMLSS (now depends on gamlss.dist and
* the gamlss.add package for extra additive terms.
* the gamlss.boot experimental package for bootstrapping centile curves (not in CRAN).
* the gamlss.cens package for fitting censored (interval) response variables.
* the package for all example data used in GAMLSS.
* the gamlss.demo package for demos using the R package rpanel.
* the gamlss.dist package for all distributions.
* the gamlss.inf package for fitting zero inflated and zero adjusted continuous distributions.
* the package for fitting finite mixture distributions.
* the package for fitting nonlinear models.
* the gamlss.rsm experimental package for fitting randomly stopped models (not in CRAN).
* the gamlss.spatial package for fitting  Gaussian Markov random fields (MRF) models in GAMLSS.
* the package for fitting truncated distributions.
* the gamlss.util package having functions not necessarily related to GAMLSS.

Information how to use the packages can be found in the books and vignette page.

Third party GAMLSS related packages for R
  • gamboostLSS – Boosting Methods for GAMLSS models.
  • BAMLSS – Bayesian Additive Models for Location Scale and Shape (and Beyond)