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Introduction

The package gamlss.ggplots is a R package to allow the use of several plotting functions for objects created by the the packages gamlss and gamlss2. It uses the plotting functions of the packageggplot2. Both packages gamlss and gamlss2 are implementations of the Generalised Additive Models for Location, Scale and Shape (GAMLSS) of Rigby and Stasinopoulos (2005), Appl. Statist., 54, pp. 507-554).

There are three book available for more information about GAMLSS;

  1. "Flexible Regression and Smoothing: Using GAMLSS in R" explaining how the models can be used in R.

  2. "Distributions for modeling location, scale and shape: Using GAMLSS in R" explaining the explicit and generated distributions available in the package gamlss.dist

  3. "Generized Additive Models for Location Scale and Shape: A distributional regression approach with applications" explaining the different method for fitting GAMLSS i.e. penalised Likelihood, Bayesian and Boosting.

More more information about books and papers related to GAMLSS can be found in https://www.gamlss.com/.

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

Version 2.1-12

  • the package was withdraw from CRAN, but now version 2.1.12 reintroduce it.

Version 2.1-13

  • all resid_ functions are now compatible with the objecrs creates with the gamlss2() function

  • family_cdf a bug was corrected when plotting only one curve

  • family.pdf the aes_string() was removed (it is depreciated from ggplot2)

Version 2.1-14

  • fitted_pdf and fitted_cdf are working with gamlss2 object but the binomial responses needed checking (not fixed yet)

Version 2.1-15

  • Most of the function are working now with gamlss2 object (need checking)

Version 2.1-16

  • The function model_TD() and model_TD_lollipop() is introduced but not in the help file yet