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weibullness (version 2.26.9)

Goodness-of-Fit Test for Weibull Distribution (Weibullness)

Description

Conducts a goodness-of-fit test for the Weibull distribution (referred to as the weibullness test) and furnishes parameter estimations for both the two-parameter and three-parameter Weibull distributions. Notably, the threshold parameter is derived through correlation from the Weibull plot. Additionally, this package conducts goodness-of-fit assessments for the exponential, Gumbel, and inverse Weibull distributions, accompanied by parameter estimations. For more details, see Park (2017) , Park (2018) , and Park (2023) . This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korea government (No. 2022R1A2C1091319).

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Version

Install

install.packages('weibullness')

Monthly Downloads

430

Version

2.26.9

License

GPL-2 | GPL-3

Maintainer

Chanseok Park

Last Published

September 21st, 2026

Functions in weibullness (2.26.9)

gumbel.mle

Maximum likelihood estimates of Gumbel distribution
weibull.ic

Maximum likelihood estimates with interval censoring
weibull.mle

Maximum likelihood estimates of three-parameter Weibull distribution
wp.test.critical

Critical Value for the Weibullness Test
wp.test.pvalue

The p-value for the Weibullness Test
regr.pwrm

Estimates of the intercept and slope parameters of a simple linear regression using the power-weighted repeated median (PWRM).
regr.rm

Estimates of the intercept and slope parameters of a simple linear regression using the repeated median (RM).
wp.plot

Weibull Plot
iwp.test.critical

Critical Value for the inverse Weibullness Test
iwp.test.pvalue

The p-value for the inverse Weibullness Test
wp.test

Weibullness Test from a Weibull Plot
weibull.seki

Maximum likelihood estimates of two-parameter Weibull distribution
weibull.threshold

Estimate of threshold parameter of three-parameter Weibull distribution
weibull.pwrm

Robust estimate of shape and scale parameters of Weibull using the power-weighted repeated median (PWRM) method
weibull.rm

Robust estimate of shape and scale parameters of Weibull using the repeated median method
wmedian

Weighted median
weibull.wp

Estimate of shape and scale parameters of Weibull from the Weibull plot
ep.plot

Exponential Probability Plot
ep.test.critical

Critical Value for the Exponential Goodness-of-Fit test
gp.plot

Gumbel Probability Plot
iwp.plot

Inverse Weibull Probability Plot
IW.Plot.Quantiles

Inverse Weibull quantile values
ep.test.pvalue

The p-value for the Exponential Goodness-of-Fit Test
Exponential.ANOVA.Quantiles

Exponential quantile values
Wdata

Dataset
breakdown

Finite-sample breakdown point for the power-weighted repeated median (PWRM) estimators
Weibull.Plot.Quantiles

Weibull quantile values
iwp.test

Weibullness Test from a inverse Weibull Plot
inverseWeibull

The inverse Weibull distribution
gp.test.critical

Critical Value for the Gumbel Goodness-of-Fit Test
Gumbel.Plot.Quantiles

Gumbel quantile values
gumbel.gp

Estimate of location and scale parameters of the Gumbel distribution
ep.test

The Exponential Goodness-of-Fit Test from the Exponential Probability Plot
gp.test

Gumbel Goodness-of-Fit Test from a Gumbel Probability Plot
invweibull.mle

Maximum likelihood estimates of the two-parameter inverse Weibull distribution
gp.test.pvalue

The p-value for the Gumbel goodness-of-Fit Test