gamlss: Generalized Additive Models for Location Scale and Shape
Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by
Rigby and Stasinopoulos (2005).
The models use a distributional regression approach where all the parameters of the conditional
distribution of the response variable are modelled using explanatory variables.
gamlss: Generalized Additive Models for Location Scale and Shape
Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005). The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.
CRAN package: https://CRAN.R-project.org/package=gamlss
GitHub repository: https://github.com/gamlss-dev/gamlss/
Project website: https://www.gamlss.com/