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), <doi:10.1111/j.1467-9876.2005.00510.x>. The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.
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12.30 score 23 stars 56 dependents 2.7k scripts 14k downloadsgamlss.dist - Distributions for Generalized Additive Models for Location Scale and Shape
A set of distributions which can be used for modelling the response variables in Generalized Additive Models for Location Scale and Shape, Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The distributions can be continuous, discrete or mixed distributions. Extra distributions can be created, by transforming, any continuous distribution defined on the real line, to a distribution defined on ranges 0 to infinity or 0 to 1, by using a 'log' or a 'logit' transformation respectively.
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10.56 score 6 stars 79 dependents 663 scripts 16k downloadsgamlss2 - GAMLSS Infrastructure for Flexible Distributional Regression
Next generation infrastructure for generalized additive models for location, scale, and shape (GAMLSS) and distributional regression more generally. The package provides a fresh reimplementation of the classic 'gamlss' package while being more modular and facilitating the creation of advanced terms and models.
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quartoopenblas
8.09 score 18 stars 3 dependents 46 scriptsgamlss.ggplots - Plotting Functions for Generalized Additive Model for Location Scale and Shape
Functions for plotting Generalized Additive Models for Location Scale and Shape from the 'gamlss' package, Stasinopoulos and Rigby (2007) <doi:10.18637/jss.v023.i07>, using the graphical methods from 'ggplot2'.
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5.42 score 2 stars 1 dependents 52 scripts 80 downloadsgamlss.add - Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees.
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5.16 score 1 dependents 96 scripts 835 downloadsgamlss.tr - Generating and Fitting Truncated 'gamlss.family' Distributions
This is an add-on package to 'gamlss' which supports truncated distributions in Generalized Additive Models for Location Scale and Shape. The main function gen.trun() generates truncated version of an existing gamlss family distribution.
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4.10 score 1 dependents 84 scripts 649 downloadsgamlss.foreach - Parallel Computations for Distributional Regression
Computationally intensive calculations for Generalized Additive Models for Location Scale and Shape, <doi:10.1111/j.1467-9876.2005.00510.x>.
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3.73 score 2 dependents 18 scripts 100 downloadsgamlss.mx - Fitting Mixture Distributions with GAMLSS
The main purpose of this package is to allow fitting of mixture distributions with generalised additive models for location scale and shape models see Chapter 7 of Stasinopoulos et al. (2017) <doi:10.1201/b21973-4>.
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3.65 score 1 stars 30 scripts 214 downloadsgamlss.cens - Fitting an Interval Response Variable Using `gamlss.family' Distributions
This is an add-on package to GAMLSS. The purpose of this package is to allow users to fit interval response variables in GAMLSS models. The main function gen.cens() generates a censored version of an existing GAMLSS family distribution.
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3.57 score 1 dependents 25 scripts 964 downloads