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reliaR  

Comprehensive Tools for some Probability Distributions
View on CRAN: Click here


Download and install reliaR package within the R console
Install from CRAN:
install.packages("reliaR")

Install from Github:
library("remotes")
install_github("cran/reliaR")

Install by package version:
library("remotes")
install_version("reliaR", "0.2")



Attach the package and use:
library("reliaR")
Maintained by
Vijay Kumar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-23
Latest Update: 2025-10-23
Description:
Provides a comprehensive suite of utilities for univariate continuous probability distributions and reliability models. Includes functions to compute the probability density, cumulative distribution, quantile, reliability, and hazard functions, along with random variate generation. Also offers diagnostic and model assessment toolssuch as Quantile-Quantile (Q-Q) and Probability-Probability (P-P) plots, the Kolmogorov-Smirnov goodness-of-fit test, and model selection criteria including the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). Currently implements the following distributions: Burr X, Chen, Exponential Extension, Exponentiated Logistic, Exponentiated Weibull, Exponential Power, Flexible Weibull, Generalized Exponential, Gompertz, Generalized Power Weibull, Gumbel, Inverse Generalized Exponential, Linear Failure Rate, Log-Gamma, Logistic-Exponential, Logistic-Rayleigh, Log-log, Marshall-Olkin Extended Exponential, Marshall-Olkin Extended Weibull, and Weibull Extension distributions. Serves as a valuable resource for teaching and research in probability theory, reliability analysis, and applied statistical modeling.
How to cite:
Vijay Kumar (2025). reliaR: Comprehensive Tools for some Probability Distributions. R package version 0.2, https://cran.r-project.org/web/packages/reliaR. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.01 (2011-01-03 18:56)
Other packages that cited reliaR R package
View reliaR citation profile
Other R packages that reliaR depends, imports, suggests or enhances
Complete documentation for reliaR
Functions, R codes and Examples using the reliaR R package
Full reliaR package functions and examples
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