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DiscreteDists

In this package are available new Discrete statistical distributions. With this package it is possible to estimate parameters and fit regression models within GAMLSS framework.

Installation

To install the DiscreteDists package you can use the following the instructions:

# Installing from CRAN:
install.packages("DiscreteDists")

# Or the development version from GitHub:
# install.packages("pak")
pak::pak("fhernanb/DiscreteDists")

You can visit the package website to explore the vignettes (articles) and function reference.

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Version

Install

install.packages('DiscreteDists')

Monthly Downloads

234

Version

1.1.3

License

MIT + file LICENSE

Issues

Pull Requests

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Repository

https://github.com/fhernanb/DiscreteDists

Maintainer

Freddy Hernandez

Last Published

September 6th, 2026

Functions in DiscreteDists (1.1.3)

New Poisson-generalised Lindley distribution

The hyper Poisson family

Discrete power-Ailamujia distribution

The GGEO family

Auxiliar function for hyper Poisson

The hyper Poisson family (with mu as mean)

The Discrete Poisson XLindley

Poisson-transmuted record type exponential distribution

Mean-parametrized New Poisson-generalised Lindley distribution (NPGL2)

NMES1988 dataset

Bernoulli-geometric distribution

The COMPO2 distribution (with mu as mean)

Set the Right Link Function for Specified Parameter and Distribution

The discrete Inverted Kumaraswamy distribution

The Discrete Lindley distribution

The COMPO distribution

Sum of One-Dimensional Functions

The Discrete Burr Hatke distribution

Discrete generalized exponential distribution - a second type

The Poisson–transmuted record type exponential distribution

The DsPA distribution

The Discrete Poisson XLindley

The Discrete Perks distribution

The hyper-Poisson distribution (with mu as mean)

New Poisson-generalised Lindley distribution (with mu as mean)

The DMOLBE distribution

The hyper-Poisson distribution

New Poisson-generalised Lindley distribution

estim_mu_sigma_GGEO

Initial values for GGEO

The GGEO distribution

estim_mu_sigma_DsPA

Initial values for DsPA

estim_mu_sigma_DPERKS

Initial values for DPERKS

estim_mu_sigma_DMOLBE

Initial values for DMOLBE

estim_mu_sigma_NPGL_MM

estim_mu_sigma_NPGL_MM

estim_mu_sigma_COMPO

Initial values for COMPO

logLik function for DMOLBE

make.link.gamlss

Create a Link for GAMLSS families

estim_mu_sigma_PTRTE

Initial values for PTRTE

logLik function for Discrete Lindley distribution

estim_mu_POISXL

Initial values for discrete Poisson XLindley distribution

Mean and variance for hyper-Poisson distribution

estim_mu_sigma_NPGL2

estim_mu_sigma_NPGL2

logLik function for DPERKS

logLik function for discrete Inverted Kumaraswamy

estim_mu_sigma_NPGL

estim_mu_sigma_NPGL

logLik function for DGEII

The simulate_hp

estim_mu_sigma_HYPERPO

Initial values for hyper Poisson

Auxiliar function for F11

logLik function for GGEO

logLik function for DsPA

logLik function for Poisson XLindley distribution

Initial values for Discrete Lindley

estim_mu_sigma_HYPERPO2

Initial values for hyper Poisson in second parameterization

Initial values for Discrete Burr Hatke

estim_mu_sigma_DGEII

Initial values for DGEII

estim_mu_sigma_DIKUM

Initial values for discrete Inverted Kumaraswamy

obtaining_lambda

Auxiliar function to obtain lambda from E(X) in HYPERPO2

grazing dataset

logLik function for Discrete Burr Hatke

logLik function for hyper Poisson

logLik_HYPERPO2

logLik function for hyper Poisson in second parameterization

plot_discrete_cdf

Draw the CDF for a discrete random variable

The Bernoulli-geometric distribution

The Discrete Burr Hatke family

The discrete Inverted Kumaraswamy family

The COMPO family

Auxiliar function for hyper Poisson

The COMPO2 family (with mu as mean)

The Discrete Perks family

The Discrete Lindley family

The DGEII distribution

The DMOLBE family