Gendist: An R package for generated probability distribution models
Document Type
Article
Publication Date
1-1-2016
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.
Keywords
Models, Theoretical, Probability
Divisions
MathematicalSciences
Publication Title
PLoS ONE
Volume
11
Issue
6
Publisher
Public Library of Science
COinS