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:
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)
MPS_2.3.1.tgz(r-4.4-emscripten)MPS_2.3.1.tgz(r-4.3-emscripten)
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:af356d7b23. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 24 2024 |
| R-4.5-win | OK | Aug 24 2024 |
| R-4.5-linux | OK | Aug 24 2024 |
| R-4.4-win | OK | Aug 24 2024 |
| R-4.4-mac | OK | Aug 24 2024 |
| R-4.3-win | OK | Aug 24 2024 |
| R-4.3-mac | OK | Aug 24 2024 |
Exports:dbetaexpgdbetagdexpexppgdexpgdexpggdexpkumgdgammagdgammag1dgammag2dgbetagdgexppgdgmbetaexpgdgtransgdgxlogisticgdkumgdloggammag1dloggammag2dmbetagdmogdmokumgdologloggdtexpsgdweibullextgdweibullgmpsbetaexpgmpsbetagmpsexpexppgmpsexpgmpsexpggmpsexpkumgmpsgammagmpsgammag1mpsgammag2mpsgbetagmpsgexppgmpsgmbetaexpgmpsgtransgmpsgxlogisticgmpskumgmpsloggammag1mpsloggammag2mpsmbetagmpsmogmpsmokumgmpsologloggmpstexpsgmpsweibullextgmpsweibullgpbetaexpgpbetagpexpexppgpexpgpexpggpexpkumgpgammagpgammag1pgammag2pgbetagpgexppgpgmbetaexpgpgtransgpgxlogisticgpkumgploggammag1ploggammag2pmbetagpmogpmokumgpologloggptexpsgpweibullextgpweibullgqbetaexpgqbetagqexpexppgqexpgqexpggqexpkumgqgammagqgammag1qgammag2qgbetagqgexppgqgmbetaexpgqgtransgqgxlogisticgqkumgqloggammag1qloggammag2qmbetagqmogqmokumgqologloggqqbetaexpgqqbetagqqexpexppgqqexpgqqexpggqqexpkumgqqgammagqqgammag1qqgammag2qqgbetagqqgexppgqqgmbetaexpgqqgtransgqqgxlogisticgqqkumgqqloggammag1qqloggammag2qqmbetagqqmogqqmokumgqqologloggqqtexpsgqqweibullextgqqweibullgqtexpsgqweibullextgqweibullgrbetaexpgrbetagrexpexppgrexpgrexpggrexpkumgrgammagrgammag1rgammag2rgbetagrgexppgrgmbetaexpgrgtransgrgxlogisticgrkumgrloggammag1rloggammag2rmbetagrmogrmokumgrologloggrtexpsgrweibullextgrweibullg
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| 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 distribution | dbetaexpg mpsbetaexpg pbetaexpg qbetaexpg qqbetaexpg rbetaexpg |
| beta G distribution | dbetag mpsbetag pbetag qbetag qqbetag rbetag |
| exponentiated exponential Poisson G distribution | dexpexppg mpsexpexppg pexpexppg qexpexppg qqexpexppg rexpexppg |
| exponentiated G distribution | dexpg mpsexpg pexpg qexpg qqexpg rexpg |
| exponentiated generalized G distribution | dexpgg mpsexpgg pexpgg qexpgg qqexpgg rexpgg |
| exponentiated Kumaraswamy G distribution | dexpkumg mpsexpkumg pexpkumg qexpkumg qqexpkumg rexpkumg |
| gamma uniform G distribution | dgammag mpsgammag pgammag qgammag qqgammag rgammag |
| gamma uniform type I G distribution | dgammag1 mpsgammag1 pgammag1 qgammag1 qqgammag1 rgammag1 |
| gamma uniform type II G distribution | dgammag2 mpsgammag2 pgammag2 qgammag2 qqgammag2 rgammag2 |
| generalized beta G distribution | dgbetag mpsgbetag pgbetag qgbetag qqgbetag rgbetag |
| geometric exponential Poisson G distribution | dgexppg mpsgexppg pgexppg qgexppg qqgexppg rgexppg |
| gamma-X family of modified beta exponential G distribution | dgmbetaexpg mpsgmbetaexpg pgmbetaexpg qgmbetaexpg qqgmbetaexpg rgmbetaexpg |
| exponentiated exponential Poisson G distribution | dgtransg mpsgtransg pgtransg qgtransg qqgtransg rgtransg |
| gamma-X generated of log-logistic-X familiy of G distribution | dgxlogisticg mpsgxlogisticg pgxlogisticg qgxlogisticg qqgxlogisticg rgxlogisticg |
| Kumaraswamy G distribution | dkumg mpskumg pkumg qkumg qqkumg rkumg |
| log gamma G type I distribution | dloggammag1 mpsloggammag1 ploggammag1 qloggammag1 qqloggammag1 rloggammag1 |
| log gamma G type II distribution | dloggammag2 mpsloggammag2 ploggammag2 qloggammag2 qqloggammag2 rloggammag2 |
| modified beta G distribution | dmbetag mpsmbetag pmbetag qmbetag qqmbetag rmbetag |
| Marshall-Olkin G distribution | dmog mpsmog pmog qmog qqmog rmog |
| Marshall-Olkin Kumaraswamy G distribution | dmokumg mpsmokumg pmokumg qmokumg qqmokumg rmokumg |
| odd log-logistic G distribution | dologlogg mpsologlogg pologlogg qologlogg qqologlogg rologlogg |
| truncated-exponential skew-symmetric G distribution | dtexpsg mpstexpsg ptexpsg qqtexpsg qtexpsg rtexpsg |
| T-X'{log-logistic}' G distribution | dweibullextg mpsweibullextg pweibullextg qqweibullextg qweibullextg rweibullextg |
| Weibull G distribution | dweibullg mpsweibullg pweibullg qqweibullg qweibullg rweibullg |
