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DiscreteDists

In this package are available 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 need to install devtools package before, follow the instructions below:

if (!require("devtools")) install.packages("devtools")
devtools::install_github("fhernanb/DiscreteDists", force=TRUE)
library(DiscreteDists)

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

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Install

install.packages('DiscreteDists')

Monthly Downloads

216

Version

1.0.0

License

MIT + file LICENSE

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Maintainer

Freddy Hernandez

Last Published

September 13th, 2024

Functions in DiscreteDists (1.0.0)

dDMOLBE

The DMOLBE distribution
dHYPERPO

The hyper-Poisson distribution
dDLD

The Discrete Lindley distribution
POISXL

The Discrete Poisson XLindley
add

Sum of One-Dimensional Functions
dDBH

The Discrete Burr Hatke distribution
dDIKUM

The discrete Inverted Kumaraswamy distribution
dDGEII

Discrete generalized exponential distribution - a second type
dHYPERPO2

The hyper-Poisson distribution (with mu as mean)
estim_mu_sigma_DGEII

Initial values for DGEII
estim_mu_sigma_DMOLBE

Initial values for DMOLBE
dHYPERPO_single

Function to obtain the dHYPERPO for a single value x
dPOISXL

The Discrete Poisson XLindley
dGGEO

The GGEO distribution
dHYPERPO_vec

Function to obtain the dHYPERPO for a vector x
estim_mu_DLD

Initial values for Discrete Lindley
estim_mu_sigma_GGEO

Initial values for GGEO
estim_mu_POISXL

Initial values for discrete Poisson XLindley distribution
estim_mu_DBH

Initial values for Discrete Burr Hatke
logLik_GGEO

logLik function for GGEO
logLik_HYPERPO

logLik function for hyper Poisson
logLik_DLD

logLik function for Discrete Lindley distribution
mean_var_hp

Mean and variance for hyper-Poisson distribution
estim_mu_sigma_HYPERPO2

Initial values for hyper Poisson in second parameterization
estim_mu_sigma_HYPERPO

Initial values for hyper Poisson
obtaining_lambda

Auxiliar function to obtain lambda from E(X)
stopping

Auxiliar function for F11
logLik_DMOLBE

logLik function for DMOLBE
simulate_hp

The simulate_hp
f11_cpp

Function to obtain F11 with C++.
logLik_DIKUM

logLik function for discrete Inverted Kumaraswamy
plot_discrete_cdf

Draw the CDF for a discrete random variable
estim_mu_sigma_DIKUM

Initial values for discrete Inverted Kumaraswamy
logLik_HYPERPO2

logLik function for hyper Poisson in second parameterization
logLik_POISXL

logLik function for Poisson XLindley distribution
logLik_DGEII

logLik function for DGEII
logLik_DBH

logLik function for Discrete Burr Hatke
DGEII

The DGEII distribution
DMOLBE

The DMOLBE family
HYPERPO2

The hyper Poisson family (with mu as mean)
DLD

The Discrete Lindley family
GGEO

The GGEO family
F11

Auxiliar function for hyper Poisson
DBH

The Discrete Burr Hatke family
HYPERPO

The hyper Poisson family
DIKUM

The discrete Inverted Kumaraswamy family
AR

Auxiliar function for hyper Poisson