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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

163

Version

1.1.0

License

MIT + file LICENSE

Issues

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Repository

https://github.com/fhernanb/DiscreteDists

Maintainer

Freddy Hernandez

Last Published

September 8th, 2025

Functions in DiscreteDists (1.1.0)

Discrete power-Ailamujia distribution

Auxiliar function for hyper Poisson

The Discrete Poisson XLindley

The hyper Poisson family (with mu as mean)

The hyper Poisson family

The GGEO family

d2_dldd_compo_cpp

Function to obtain d2 in the score for COMPO with C++.

The Discrete Lindley family

The discrete Inverted Kumaraswamy family

Bernoulli-geometric distribution

d1_vec_dldm_compo_cpp

Function to obtain d1 vectorial in the score for COMPO with C++.

d2_vec_dldd_compo_cpp

Function to obtain d2 vectorial in the score for COMPO with C++.

Discrete generalized exponential distribution - a second type

The COMPO2 distribution (with mu as mean)

The COMPO distribution

The Discrete Burr Hatke distribution

The DMOLBE distribution

Function to obtain the dCOMPO for a single value x

Function to obtain the dHYPERPO for a vector x

The Discrete Burr Hatke family

The Discrete Perks distribution

estim_mu_sigma_COMPO

Initial values for COMPO

Sum of One-Dimensional Functions

The DGEII distribution

d1_dldm_compo_cpp

Function to obtain d1 in the score for COMPO with C++.

The GGEO distribution

The DsPA distribution

estim_mu_sigma_DMOLBE

Initial values for DMOLBE

dHYPERPO_single

Function to obtain the dHYPERPO for a single value x

Function to obtain the dHYPERPO for a vector x

estim_mu_sigma_DIKUM

Initial values for discrete Inverted Kumaraswamy

The hyper-Poisson distribution

logLik function for DGEII

estim_mu_sigma_DsPA

Initial values for DsPA

logLik function for Discrete Lindley distribution

estim_mu_sigma_DPERKS

Initial values for DPERKS

logLik function for DMOLBE

The hyper-Poisson distribution (with mu as mean)

The discrete Inverted Kumaraswamy distribution

The Discrete Lindley distribution

Auxiliar function for F11

Function to obtain Z for COMPO with C++.

logLik function for Poisson XLindley distribution

Function to obtain Z vectorial for COMPO with C++.

logLik_HYPERPO2

logLik function for hyper Poisson in second parameterization

logLik function for discrete Inverted Kumaraswamy

estim_mu_sigma_HYPERPO2

Initial values for hyper Poisson in second parameterization

Function to obtain F11 with C++.

grazing dataset

estim_mu_sigma_DGEII

Initial values for DGEII

Initial values for Discrete Lindley

plot_discrete_cdf

Draw the CDF for a discrete random variable

estim_mu_POISXL

Initial values for discrete Poisson XLindley distribution

The simulate_hp

logLik function for Discrete Burr Hatke

logLik function for hyper Poisson

logLik function for GGEO

The Discrete Poisson XLindley

Initial values for Discrete Burr Hatke

logLik function for DsPA

estim_mu_sigma_GGEO

Initial values for GGEO

Mean and variance for hyper-Poisson distribution

logLik function for DPERKS

estim_mu_sigma_HYPERPO

Initial values for hyper Poisson

obtaining_lambda

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

The DMOLBE family

The COMPO2 family (with mu as mean)

The COMPO family

The Bernoulli-geometric distribution

The Discrete Perks family

Auxiliar function for hyper Poisson