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Gendist: An R Package for Generated Probability Distribution Models.

Authors :
Abu Bakar, Shaiful Anuar
Nadarajah, Saralees
ABSL Kamarul Adzhar, Zahrul Azmir
Mohamed, Ibrahim
Source :
PLoS ONE. 6/7/2016, Vol. 11 Issue 6, p1-20. 20p.
Publication Year :
2016

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
11
Issue :
6
Database :
Academic Search Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
115960244
Full Text :
https://doi.org/10.1371/journal.pone.0156537