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Gendist: An R Package for Generated Probability Distribution Models
In this paper, we introduce the R package gendist that computes the probability density function, the cumulative distribution function, the quantile function and generates random values for several generated probability distribution models including the mixture model, the composite model, the folded...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896504/ https://www.ncbi.nlm.nih.gov/pubmed/27272043 http://dx.doi.org/10.1371/journal.pone.0156537 |
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author | Abu Bakar, Shaiful Anuar Nadarajah, Saralees ABSL Kamarul Adzhar, Zahrul Azmir Mohamed, Ibrahim |
author_facet | Abu Bakar, Shaiful Anuar Nadarajah, Saralees ABSL Kamarul Adzhar, Zahrul Azmir Mohamed, Ibrahim |
author_sort | Abu Bakar, Shaiful Anuar |
collection | PubMed |
description | In this paper, we introduce the R package gendist that computes the probability density function, the cumulative distribution function, the quantile function and generates random values for several generated probability distribution models including the mixture model, the composite model, the folded model, the skewed symmetric model and the arc tan model. These models are extensively used in the literature and the R functions provided here are flexible enough to accommodate various univariate distributions found in other R packages. We also show its applications in graphing, estimation, simulation and risk measurements. |
format | Online Article Text |
id | pubmed-4896504 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48965042016-06-16 Gendist: An R Package for Generated Probability Distribution Models Abu Bakar, Shaiful Anuar Nadarajah, Saralees ABSL Kamarul Adzhar, Zahrul Azmir Mohamed, Ibrahim PLoS One Research Article In this paper, we introduce the R package gendist that computes the probability density function, the cumulative distribution function, the quantile function and generates random values for several generated probability distribution models including the mixture model, the composite model, the folded model, the skewed symmetric model and the arc tan model. These models are extensively used in the literature and the R functions provided here are flexible enough to accommodate various univariate distributions found in other R packages. We also show its applications in graphing, estimation, simulation and risk measurements. Public Library of Science 2016-06-07 /pmc/articles/PMC4896504/ /pubmed/27272043 http://dx.doi.org/10.1371/journal.pone.0156537 Text en © 2016 Abu Bakar et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Abu Bakar, Shaiful Anuar Nadarajah, Saralees ABSL Kamarul Adzhar, Zahrul Azmir Mohamed, Ibrahim Gendist: An R Package for Generated Probability Distribution Models |
title | Gendist: An R Package for Generated Probability Distribution Models |
title_full | Gendist: An R Package for Generated Probability Distribution Models |
title_fullStr | Gendist: An R Package for Generated Probability Distribution Models |
title_full_unstemmed | Gendist: An R Package for Generated Probability Distribution Models |
title_short | Gendist: An R Package for Generated Probability Distribution Models |
title_sort | gendist: an r package for generated probability distribution models |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896504/ https://www.ncbi.nlm.nih.gov/pubmed/27272043 http://dx.doi.org/10.1371/journal.pone.0156537 |
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