Gendist: An R Package for Generated Probability Distribution Models
Shaiful Anuar Abu Bakar,
Saralees Nadarajah,
Zahrul Azmir ABSL Kamarul Adzhar and
Ibrahim Mohamed
PLOS ONE, 2016, vol. 11, issue 6, 1-20
Abstract:
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.
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0156537 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 56537&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0156537
DOI: 10.1371/journal.pone.0156537
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().