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 ORCID iD [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


Reference manual: weibullness.pdf


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


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