weibullness: Goodness-of-Fit Test for Weibull Distribution (Weibullness)
Performs a goodness-of-fit test of Weibull distribution (weibullness test) and provides the maximum likelihood estimates of the three-parameter Weibull distribution. Note that the threshold parameter is estimated based on the correlation from the Weibull plot. For more details, see Park (2018) <doi:10.1155/2018/6056975>. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2022R1A2C1091319).
| Version: | 1.22.12 |
| Depends: | R (≥ 3.1.0) |
| Published: | 2022-12-02 |
| Author: | Chanseok Park 
[aut, cre] |
| Maintainer: | Chanseok Park <statpnu at gmail.com> |
| BugReports: | https://github.com/AppliedStat/R/issues |
| License: | GPL-2 | GPL-3 |
| URL: | https://AppliedStat.GitHub.io/R/ |
| NeedsCompilation: | no |
| Citation: | weibullness citation info |
| Materials: | NEWS |
| CRAN checks: | weibullness results |
Documentation:
| Reference manual: | weibullness.pdf |
Downloads:
| Package source: | weibullness_1.22.12.tar.gz |
| Windows binaries: | r-devel: weibullness_1.22.12.zip, r-release: weibullness_1.22.12.zip, r-oldrel: weibullness_1.22.12.zip |
| macOS binaries: | r-release (arm64): weibullness_1.22.12.tgz, r-oldrel (arm64): weibullness_1.22.12.tgz, r-release (x86_64): weibullness_1.22.12.tgz, r-oldrel (x86_64): weibullness_1.22.12.tgz |
| Old sources: | weibullness archive |
Linking:
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