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WeibullR: Weibull Analysis for Reliability Engineering

Life data analysis in the graphical tradition of Waloddi Weibull. Methods derived from Robert B. Abernethy (2008, ISBN 0-965306-3-2), Wayne Nelson (1982, ISBN: 9780471094586), William Q. Meeker and Lois A. Escobar (1998, ISBN: 1-471-14328-6), John I. McCool, (2012, ISBN: 9781118217986).

Version: 1.2.1
Imports: methods, Rcpp (≥ 0.11.1)
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-06-25
Author: David Silkworth [aut], Jurgen Symynck [aut], Jacob Ormerod [cre], OpenReliability.org [cph]
Maintainer: Jacob Ormerod <jake at openreliability.org>
License: GPL (≥ 3)
Copyright: copyright (c) OpenReliability.org 2011-2019
URL: http://www.openreliability.org/weibull-r-weibull-analysis-on-r/
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README
CRAN checks: WeibullR results

Documentation:

Reference manual: WeibullR.pdf

Downloads:

Package source: WeibullR_1.2.1.tar.gz
Windows binaries: r-devel: WeibullR_1.2.1.zip, r-release: WeibullR_1.2.1.zip, r-oldrel: WeibullR_1.2.1.zip
macOS binaries: r-release (arm64): WeibullR_1.2.1.tgz, r-oldrel (arm64): WeibullR_1.2.1.tgz, r-release (x86_64): WeibullR_1.2.1.tgz, r-oldrel (x86_64): WeibullR_1.2.1.tgz
Old sources: WeibullR archive

Reverse dependencies:

Reverse depends: WeibullR.ALT
Reverse imports: WeibullR.learnr, WeibullR.plotly, WeibullR.shiny

Linking:

Please use the canonical form https://CRAN.R-project.org/package=WeibullR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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