Package: weibullness 1.24.1

Chanseok Park

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

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) <doi:10.23055/ijietap.2017.24.4.2848>, Park (2018) <doi:10.1155/2018/6056975>, and Park (2023) <doi:10.3390/math11143156>. This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korea government (MSIT) (No. 2022R1A2C1091319, RS-2023-00242528).

Authors:Chanseok Park [aut, cre]

weibullness_1.24.1.tar.gz
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weibullness.pdf |weibullness.html✨
weibullness/json (API)
NEWS

# Install 'weibullness' in R:
install.packages('weibullness', repos = c('https://appliedstat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/appliedstat/r/issues

Datasets:

On CRAN:

Conda:

control-chartgoodness-of-fitr-languageweibull

4.01 score 2 stars 1 packages 34 scripts 563 downloads 27 exports 0 dependencies

Last updated from:bd34801eaf. Checks:6 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE100
source / vignettesOK143
linux-release-x86_64NOTE131
macos-devel-arm64NOTE186
macos-release-arm64NOTE153
windows-develNOTE78
windows-releaseNOTE72
wasm-releaseOK90

Exports:dinvweibullep.plotep.testep.test.criticalep.test.pvaluegp.plotgp.testgp.test.criticalgp.test.pvaluegumbel.gpinvweibull.mleiwp.plotiwp.testiwp.test.criticaliwp.test.pvaluepinvweibullqinvweibullrinvweibullweibull.icweibull.mleweibull.rmweibull.thresholdweibull.wpwp.plotwp.testwp.test.criticalwp.test.pvalue

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Exponential Probability Plotep.plot
The Exponential Goodness-of-Fit Test from the Exponential Probability Plotep.test
Critical Value for the Exponential Goodness-of-Fit testep.test.critical
The p-value for the Exponential Goodness-of-Fit Testep.test.pvalue
Exponential quantile valuesExponential.ANOVA.Quantiles
Gumbel Probability Plotgp.plot
Gumbel Goodness-of-Fit Test from a Gumbel Probability Plotgp.test
Critical Value for the Gumbel Goodness-of-Fit Testgp.test.critical
The p-value for the Gumbel goodness-of-Fit Testgp.test.pvalue
Estimate of location and scale parameters of the Gumbel distributiongumbel.gp
Gumbel quantile valuesGumbel.Plot.Quantiles
The inverse Weibull distributiondinvweibull inverseWeibull pinvweibull qinvweibull rinvweibull
Maximum likelihood estimates of the two-parameter inverse Weibull distributioninvweibull.mle
Inverse Weibull quantile valuesinverse.Weibull.Plot.Quantiles IW.Plot.Quantiles
Inverse Weibull Probability Plotiwp.plot
Weibullness Test from a inverse Weibull Plotiwp.test
Critical Value for the inverse Weibullness Testiwp.test.critical
The p-value for the inverse Weibullness Testiwp.test.pvalue
Datasetbearings glassfiber1.5 glassfiber15 radio.chemotherapy radiotherapy urinary Wdata
Maximum likelihood estimates with interval censoringweibull.ic
Maximum likelihood estimates of three-parameter Weibull distributionweibull.mle
Weibull quantile valuesWeibull.Plot.Quantiles
Robust estimate of shape and scale parameters of Weibull using the repeated median methodweibull.rm
Estimate of threshold parameter of three-parameter Weibull distributionweibull.threshold
Estimate of shape and scale parameters of Weibull using the Weibull plotweibull.wp
Weibull Plotwp.plot
Weibullness Test from a Weibull Plotweibullness wp.test
Critical Value for the Weibullness Testwp.test.critical
The p-value for the Weibullness Testwp.test.pvalue