Package: weibullness 1.24.1
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:
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
- Exponential.ANOVA.Quantiles - Exponential quantile values
- Gumbel.Plot.Quantiles - Gumbel quantile values
- IW.Plot.Quantiles - Inverse Weibull quantile values
- Wdata - Dataset
- Weibull.Plot.Quantiles - Weibull quantile values
control-chartgoodness-of-fitr-languageweibull
Last updated 10 months agofrom:bd34801eaf. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | NOTE | Nov 01 2024 |
R-4.5-linux | NOTE | Nov 01 2024 |
R-4.4-win | NOTE | Nov 01 2024 |
R-4.4-mac | NOTE | Nov 01 2024 |
R-4.3-win | NOTE | Nov 01 2024 |
R-4.3-mac | NOTE | Nov 01 2024 |
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: