Gendist: An R package for generated probability distribution models

Bakar, S.A.A. and Nadarajah, S. and Kamarul Adzhar, Z.A.A. and Mohamed, I. (2016) Gendist: An R package for generated probability distribution models. PLoS ONE, 11 (6). e0156537. ISSN 1932-6203, DOI https://doi.org/10.1371/journal.pone.0156537.

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Official URL: https://doi.org/10.1371/journal.pone.0156537

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.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Models, Theoretical; Probability
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Divisions: Faculty of Science > Institute of Mathematical Sciences
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 05 Dec 2017 03:23
Last Modified: 05 Dec 2017 03:23
URI: http://eprints.um.edu.my/id/eprint/18445

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