TY - JOUR
T1 - Gendist An R Package for Generated Probability Distribution Models
T2 - An R Package for Generated Probability Distribution Models
AU - Bakar, Shaiful Anuar Abu
AU - Nadarajah, Saralees
AU - Kamarul Adzhar, Zahrul Azmir Absl
AU - Mohamed, Ibrahim
PY - 2016/6/7
Y1 - 2016/6/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84975303476&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0156537
DO - 10.1371/journal.pone.0156537
M3 - Article
AN - SCOPUS:84975303476
VL - 11
JO - PLoS ONE
JF - PLoS ONE
IS - 6
M1 - e0156537
ER -