Package: DiscreteDists 1.0.0

DiscreteDists: Discrete Statistical Distributions

Implementation of new discrete statistical distributions. Each distribution includes the traditional functions as well as an additional function called the family function, which can be used to estimate parameters within the 'gamlss' framework.

Authors:Freddy Hernandez-Barajas [aut, cre], Fernando Marmolejo-Ramos [aut], Jamiu Olumoh [aut], Osho Ajayi [aut], Olga Usuga-Manco [aut]

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DiscreteDists.pdf |DiscreteDists.html✨
DiscreteDists/json (API)

# Install 'DiscreteDists' in R:
install.packages('DiscreteDists', repos = c('https://fhernanb.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fhernanb/discretedists/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

cpp

3.81 score 1 scripts 165 downloads 87 exports 12 dependencies

Last updated 15 days agofrom:21af64a1e7. Checks:1 OK, 10 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 05 2025
R-4.5-win-x86_64NOTEFeb 05 2025
R-4.5-mac-x86_64NOTEFeb 05 2025
R-4.5-mac-aarch64NOTEFeb 05 2025
R-4.5-linux-x86_64NOTEFeb 05 2025
R-4.4-win-x86_64NOTEFeb 05 2025
R-4.4-mac-x86_64NOTEFeb 05 2025
R-4.4-mac-aarch64NOTEFeb 05 2025
R-4.3-win-x86_64NOTEFeb 05 2025
R-4.3-mac-x86_64NOTEFeb 05 2025
R-4.3-mac-aarch64NOTEFeb 05 2025

Exports:addARBerGdBerGDBHdDBHdDGEIIdDIKUMdDLDdDMOLBEdDsPADGEIIdGGEOdHYPERPOdHYPERPO_singledHYPERPO_vecdHYPERPO2DIKUMDLDDMOLBEdPOISXLDsPAestim_mu_DBHestim_mu_DLDestim_mu_POISXLestim_mu_sigma_DGEIIestim_mu_sigma_DIKUMestim_mu_sigma_DMOLBEestim_mu_sigma_DsPAestim_mu_sigma_GGEOestim_mu_sigma_HYPERPOestim_mu_sigma_HYPERPO2F11f11_cppGGEOHYPERPOHYPERPO2logLik_DBHlogLik_DGEIIlogLik_DIKUMlogLik_DLDlogLik_DMOLBElogLik_DsPAlogLik_GGEOlogLik_HYPERPOlogLik_HYPERPO2logLik_POISXLmean_var_hpmean_var_hp2obtaining_lambdapBerGpDBHpDGEIIpDIKUMpDLDpDMOLBEpDsPApGGEOpHYPERPOpHYPERPO2plot_discrete_cdfPOISXLpPOISXLqBerGqDBHqDGEIIqDIKUMqDLDqDMOLBEqDsPAqGGEOqHYPERPOqHYPERPO2qPOISXLrBerGrDBHrDGEIIrDIKUMrDLDrDMOLBErDsPArGGEOrHYPERPOrHYPERPO2rPOISXLsimulate_hpstopping

Dependencies:gamlssgamlss.datagamlss.distlatticeMASSMatrixnlmepracmarbibutilsRcppRdpacksurvival

Readme and manuals

Help Manual

Help pageTopics
Sum of One-Dimensional Functionsadd
The Bernoulli-geometric distributionBerG
Bernoulli-geometric distributiondBerG pBerG qBerG rBerG
The Discrete Burr Hatke familyDBH
The Discrete Burr Hatke distributiondDBH pDBH qDBH rDBH
Discrete generalized exponential distribution - a second typedDGEII pDGEII qDGEII rDGEII
The discrete Inverted Kumaraswamy distributiondDIKUM pDIKUM qDIKUM rDIKUM
The Discrete Lindley distributiondDLD pDLD qDLD rDLD
The DMOLBE distributiondDMOLBE pDMOLBE qDMOLBE rDMOLBE
The DsPA distributiondDsPA pDsPA qDsPA rDsPA
The DGEII distributionDGEII
The GGEO distributiondGGEO pGGEO qGGEO rGGEO
The hyper-Poisson distributiondHYPERPO pHYPERPO qHYPERPO rHYPERPO
Function to obtain the dHYPERPO for a single value xdHYPERPO_single
Function to obtain the dHYPERPO for a vector xdHYPERPO_vec
The hyper-Poisson distribution (with mu as mean)dHYPERPO2 pHYPERPO2 qHYPERPO2 rHYPERPO2
The discrete Inverted Kumaraswamy familyDIKUM
The Discrete Lindley familyDLD
The DMOLBE familyDMOLBE
The Discrete Poisson XLindleydPOISXL pPOISXL qPOISXL rPOISXL
Discrete power-Ailamujia distributionDsPA
estim_mu_sigma_DsPAestim_mu_sigma_DsPA
Function to obtain F11 with C++.f11_cpp
The GGEO familyGGEO
grazing datasetgrazing
The hyper Poisson familyHYPERPO
The hyper Poisson family (with mu as mean)HYPERPO2
logLik_DsPA This is an auxiliar function to obtain the logLik for DsPAlogLik_DsPA
Mean and variance for hyper-Poisson distributionmean_var_hp mean_var_hp2
Draw the CDF for a discrete random variableplot_discrete_cdf
The Discrete Poisson XLindleyPOISXL