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.

Last updated 4 months ago

11.23 score 16 stars 49 dependents 2.0k scripts 18k downloads

gamlss.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.

Last updated 14 days ago

10.50 score 4 stars 71 dependents 346 scripts 15k downloads

gamlss.data - Data for Generalized Additive Models for Location Scale and Shape

Data used as examples in the books on Generalized Additive Models for Location Scale and Shape: Stasinopoulos, Rigby, Heller, Voudouris, De Bastiani (2017). Flexible Regression and Smoothing: Using GAMLSS in R, <doi:10.1201/b21973>. Rigby, Stasinopoulos, Heller, De Bastiani (2019). Distributions for Modeling Location, Scale, and Shape Using GAMLSS in R, <doi:10.1201/9780429298547>. Stasinopoulos, Kneib, Klein, Mayr, Heller (2024). Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications, <doi:10.1017/9781009410076>.

Last updated 12 months ago

7.34 score 50 dependents 108 scripts 14k downloads

gamlss.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'.

Last updated 3 months ago

5.58 score 2 stars 24 scripts 338 downloads

gamlss2 - 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 reimplementaton of the classic 'gamlss' package while being more modular and facilitating the creation of advanced terms and models.

Last updated 12 days ago

5.23 score 7 stars 1 dependents 4 scripts

gamlss.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.

Last updated 12 months ago

4.98 score 1 dependents 64 scripts 733 downloads

gamlss.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.

Last updated 11 months ago

4.66 score 2 dependents 77 scripts 982 downloads

gamlss.spatial - Spatial Terms in Generalized Additive Models for Location Scale and Shape

The packages enables fitting Gaussian Markov Random Fields within the Generalized Additive Models for Location Scale and Shape algorithms.

Last updated 1 years ago

3.74 score 11 scripts 357 downloads

gamlss.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.

Last updated 1 years ago

3.68 score 1 dependents 32 scripts 843 downloads

gamlss.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>.

Last updated 1 years ago

3.26 score 1 dependents 12 scripts 311 downloads

gamlss.mx - Fitting Mixture Distributions with Generalized Additive Models for Location Scale and Shape

The package provides fitting of mixture distributions with Generalized Additive Models for Location Scale and Shape, see Chapter 7 of Stasinopoulos et al. (2017) <doi:10.1201/b21973-7>.

Last updated 1 years ago

3.08 score 1 stars 24 scripts 673 downloads

WeatherGermany - Weather Data for Germany from the Deutscher Wetterdienst (DWD)

Weather data for all stations in Germany as provided by the Deutscher Wetterdienst (DWD). The data is pre-processed and only the observations with the highest quality flags are provided. In addition, elevation data of Germany is provided as stars object.

Last updated 1 months ago

2.30 score