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gamlss.inf  

Fitting Mixed (Inflated and Adjusted) Distributions
View on CRAN: Click here


Download and install gamlss.inf package within the R console
Install from CRAN:
install.packages("gamlss.inf")

Install from Github:
library("remotes")
install_github("cran/gamlss.inf")

Install by package version:
library("remotes")
install_version("gamlss.inf", "1.0-1")



Attach the package and use:
library("gamlss.inf")
Maintained by
Marco Enea
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-02
Latest Update: 2019-03-12
Description:
This is an add-on package to 'gamlss'. The purpose of this package is to allow users to fit GAMLSS (Generalised Additive Models for Location Scale and Shape) models when the response variable is defined either in the intervals [0,1), (0,1] and [0,1] (inflated at zero and/or one distributions), or in the positive real line including zero (zero-adjusted distributions). The mass points at zero and/or one are treated as extra parameters with the possibility to include a linear predictor for both. The package also allows transformed or truncated distributions from the GAMLSS family to be used for the continuous part of the distribution. Standard methods and GAMLSS diagnostics can be used with the resulting fitted object.
How to cite:
Marco Enea (2017). gamlss.inf: Fitting Mixed (Inflated and Adjusted) Distributions. R package version 1.0-1, https://cran.r-project.org/web/packages/gamlss.inf
Previous versions and publish date:
1.0-0 (2017-05-02 18:12)
Other packages that cited gamlss.inf R package
View gamlss.inf citation profile
Other R packages that gamlss.inf depends, imports, suggests or enhances
Functions, R codes and Examples using the gamlss.inf R package
Some associated functions: centiles.Inf0to1 . gamlss.inf-package . gamlssInf0to1 . gamlssZadj . gen.Inf0to1 . gen.Zadj . predict.gamlssZadj . predict.gamlssinf0to1 . sda . summary.gamlssinf0to1 . term.plotInf0to1 . term.plotZadj . 
Some associated R codes: Inf0to1.R . Zadj0.R .  Full gamlss.inf package functions and examples
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