Package: MPS 2.3.1

MPS: Estimating Through the Maximum Product Spacing Approach

Developed for computing the probability density function, computing the cumulative distribution function, computing the quantile function, random generation, drawing q-q plot, and estimating the parameters of 24 G-family of statistical distributions via the maximum product spacing approach introduced in <https://www.jstor.org/stable/2345411>. The set of families contains: beta G distribution, beta exponential G distribution, beta extended G distribution, exponentiated G distribution, exponentiated exponential Poisson G distribution, exponentiated generalized G distribution, exponentiated Kumaraswamy G distribution, gamma type I G distribution, gamma type II G distribution, gamma uniform G distribution, gamma-X generated of log-logistic family of G distribution, gamma-X family of modified beta exponential G distribution, geometric exponential Poisson G distribution, generalized beta G distribution, generalized transmuted G distribution, Kumaraswamy G distribution, log gamma type I G distribution, log gamma type II G distribution, Marshall Olkin G distribution, Marshall Olkin Kumaraswamy G distribution, modified beta G distribution, odd log-logistic G distribution, truncated-exponential skew-symmetric G distribution, and Weibull G distribution.

Authors:Mahdi Teimouri and Saralees Nadarajah

MPS_2.3.1.tar.gz
MPS_2.3.1.zip(r-4.5)MPS_2.3.1.zip(r-4.4)MPS_2.3.1.zip(r-4.3)
MPS_2.3.1.tgz(r-4.4-any)MPS_2.3.1.tgz(r-4.3-any)
MPS_2.3.1.tar.gz(r-4.5-noble)MPS_2.3.1.tar.gz(r-4.4-noble)
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MPS.pdf |MPS.html✨
MPS/json (API)

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

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On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.52 score 33 scripts 148 downloads 128 mentions 144 exports 0 dependencies

Last updated 5 years agofrom:af356d7b23. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winOKNov 05 2024
R-4.5-linuxOKNov 05 2024
R-4.4-winOKNov 05 2024
R-4.4-macOKNov 05 2024
R-4.3-winOKNov 05 2024
R-4.3-macOKNov 05 2024

Exports:dbetaexpgdbetagdexpexppgdexpgdexpggdexpkumgdgammagdgammag1dgammag2dgbetagdgexppgdgmbetaexpgdgtransgdgxlogisticgdkumgdloggammag1dloggammag2dmbetagdmogdmokumgdologloggdtexpsgdweibullextgdweibullgmpsbetaexpgmpsbetagmpsexpexppgmpsexpgmpsexpggmpsexpkumgmpsgammagmpsgammag1mpsgammag2mpsgbetagmpsgexppgmpsgmbetaexpgmpsgtransgmpsgxlogisticgmpskumgmpsloggammag1mpsloggammag2mpsmbetagmpsmogmpsmokumgmpsologloggmpstexpsgmpsweibullextgmpsweibullgpbetaexpgpbetagpexpexppgpexpgpexpggpexpkumgpgammagpgammag1pgammag2pgbetagpgexppgpgmbetaexpgpgtransgpgxlogisticgpkumgploggammag1ploggammag2pmbetagpmogpmokumgpologloggptexpsgpweibullextgpweibullgqbetaexpgqbetagqexpexppgqexpgqexpggqexpkumgqgammagqgammag1qgammag2qgbetagqgexppgqgmbetaexpgqgtransgqgxlogisticgqkumgqloggammag1qloggammag2qmbetagqmogqmokumgqologloggqqbetaexpgqqbetagqqexpexppgqqexpgqqexpggqqexpkumgqqgammagqqgammag1qqgammag2qqgbetagqqgexppgqqgmbetaexpgqqgtransgqqgxlogisticgqqkumgqqloggammag1qqloggammag2qqmbetagqqmogqqmokumgqqologloggqqtexpsgqqweibullextgqqweibullgqtexpsgqweibullextgqweibullgrbetaexpgrbetagrexpexppgrexpgrexpggrexpkumgrgammagrgammag1rgammag2rgbetagrgexppgrgmbetaexpgrgtransgrgxlogisticgrkumgrloggammag1rloggammag2rmbetagrmogrmokumgrologloggrtexpsgrweibullextgrweibullg

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Developed for computing pdf, cdf, quantile, random generation, drawing q-q plot, and estimating the parameters of 24 G-family of statistical distributions.MPS-package
beta exponential G distributiondbetaexpg mpsbetaexpg pbetaexpg qbetaexpg qqbetaexpg rbetaexpg
beta G distributiondbetag mpsbetag pbetag qbetag qqbetag rbetag
exponentiated exponential Poisson G distributiondexpexppg mpsexpexppg pexpexppg qexpexppg qqexpexppg rexpexppg
exponentiated G distributiondexpg mpsexpg pexpg qexpg qqexpg rexpg
exponentiated generalized G distributiondexpgg mpsexpgg pexpgg qexpgg qqexpgg rexpgg
exponentiated Kumaraswamy G distributiondexpkumg mpsexpkumg pexpkumg qexpkumg qqexpkumg rexpkumg
gamma uniform G distributiondgammag mpsgammag pgammag qgammag qqgammag rgammag
gamma uniform type I G distributiondgammag1 mpsgammag1 pgammag1 qgammag1 qqgammag1 rgammag1
gamma uniform type II G distributiondgammag2 mpsgammag2 pgammag2 qgammag2 qqgammag2 rgammag2
generalized beta G distributiondgbetag mpsgbetag pgbetag qgbetag qqgbetag rgbetag
geometric exponential Poisson G distributiondgexppg mpsgexppg pgexppg qgexppg qqgexppg rgexppg
gamma-X family of modified beta exponential G distributiondgmbetaexpg mpsgmbetaexpg pgmbetaexpg qgmbetaexpg qqgmbetaexpg rgmbetaexpg
exponentiated exponential Poisson G distributiondgtransg mpsgtransg pgtransg qgtransg qqgtransg rgtransg
gamma-X generated of log-logistic-X familiy of G distributiondgxlogisticg mpsgxlogisticg pgxlogisticg qgxlogisticg qqgxlogisticg rgxlogisticg
Kumaraswamy G distributiondkumg mpskumg pkumg qkumg qqkumg rkumg
log gamma G type I distributiondloggammag1 mpsloggammag1 ploggammag1 qloggammag1 qqloggammag1 rloggammag1
log gamma G type II distributiondloggammag2 mpsloggammag2 ploggammag2 qloggammag2 qqloggammag2 rloggammag2
modified beta G distributiondmbetag mpsmbetag pmbetag qmbetag qqmbetag rmbetag
Marshall-Olkin G distributiondmog mpsmog pmog qmog qqmog rmog
Marshall-Olkin Kumaraswamy G distributiondmokumg mpsmokumg pmokumg qmokumg qqmokumg rmokumg
odd log-logistic G distributiondologlogg mpsologlogg pologlogg qologlogg qqologlogg rologlogg
truncated-exponential skew-symmetric G distributiondtexpsg mpstexpsg ptexpsg qqtexpsg qtexpsg rtexpsg
T-X'{log-logistic}' G distributiondweibullextg mpsweibullextg pweibullextg qqweibullextg qweibullextg rweibullextg
Weibull G distributiondweibullg mpsweibullg pweibullg qqweibullg qweibullg rweibullg