Package: WeibullR 1.2.3

Jacob Ormerod

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).

Authors:David Silkworth [aut], Jurgen Symynck [aut], Jacob Ormerod [cre], OpenReliability.org [cph]

WeibullR_1.2.3.tar.gz
WeibullR_1.2.3.zip(r-4.7)WeibullR_1.2.3.zip(r-4.6)WeibullR_1.2.3.zip(r-4.5)
WeibullR_1.2.3.tgz(r-4.6-x86_64)WeibullR_1.2.3.tgz(r-4.6-arm64)WeibullR_1.2.3.tgz(r-4.5-x86_64)WeibullR_1.2.3.tgz(r-4.5-arm64)
WeibullR_1.2.3.tar.gz(r-4.7-arm64)WeibullR_1.2.3.tar.gz(r-4.7-x86_64)WeibullR_1.2.3.tar.gz(r-4.6-arm64)WeibullR_1.2.3.tar.gz(r-4.6-x86_64)
WeibullR_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
WeibullR/json (API)

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

Bug tracker:https://github.com/weibull-r/weibullr/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

5.62 score 5 stars 4 packages 69 scripts 503 downloads 37 exports 2 dependencies

Last updated from:f9299432d7. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE150
linux-devel-x86_64NOTE200
source / vignettesOK167
linux-release-arm64NOTE149
linux-release-x86_64NOTE147
macos-release-arm64NOTE193
macos-release-x86_64NOTE496
macos-oldrel-arm64NOTE173
macos-oldrel-x86_64NOTE270
windows-develNOTE156
windows-releaseNOTE174
windows-oldrelNOTE214
wasm-releaseOK140

Exports:AbPvalBBBcontour.wblrFMboundsgetCCC2getPercentilePlottingPositionsgetPPPhrbuLLlnLLwLRboundslslrMLEcontourmlefitmleframeMLEln2pMLEln3pMLEw2pMLEw3pMRRln2pMRRln3pMRRw2pMRRw3poptions.wblrp2ypivotal.rrplot_contourplot.wblrrbawblrwblr.confwblr.fitwblrLoglikeweibayesweibayes.mlexboundsxfit

Dependencies:RcppRcppArmadillo

Readme and manuals

Help Manual

Help pageTopics
Weibull-R : Weibull Analysis on RWeibullR-package
Determination of the percentile of r and r-squared, by correlation. Here designated "Abernethy's P-value"AbPval
Beta Binomial BoundsBBB
S3 Likelihood Ratio Contour Maps From 'wblr' Objectscontour.wblr
Fisher Matrix boundsFMbounds
Determination of the square of the "Critical Correlation Coefficient" (CCC2).getCCC2
Determination of percentile plotting positions for linear regression with many optional methodsgetPercentilePlottingPositions
Alias for 'getPercentilePlottingPositions', sets data into the format required by lslr.getPPP
Hirose and Ross beta unbias factors for Weibull MLEhrbu
Log Likelihood for log-normal fitted data, failures and suspensions onlyLLln
Log Likelihood for weibull fitted data, failures and suspensions onlyLLw
Likelihood Ratio boundsLRbounds
Least squares linear regression with many optional methodslslr
Likelihood Ratio Contour for Weibull and Lognormal Fitted DataMLEcontour
Maximum likelihood regression on Weibull and Lognormal distributionsmlefit
Set life(time) data into the format required by mlefitmleframe
Quick Fit, Maximum Likelihood Estimate for 2-parameter lognormal distributionsMLEln2p
Quick Fit, Maximum Likelihood Estimate for 3-parameter lognormal distributionsMLEln3p
Quick Fit, Maximum Likelihood Estimate for 2-parameter weibull distributionsMLEw2p
Quick Fit, Maximum Likelihood Estimation for weibull distribution in 3-parametersMLEw3p
Quick Fit, Median rank regression for 2-parameter log-normal distributionsMRRln2p
Quick Fit, Median rank regression for log-normal distribution with third parameter optimizationMRRln3p
Quick Fit, Median rank regression for 2-parameter weibull distributionsMRRw2p
Quick Fit, Median rank regression for weibull distribution in 3-parametersMRRw3p
Options list for 'wblr' Objectsoptions.wblr
Transform Probability Value to the Y-Axis of a '"plot.wblr"' Canvasp2y
Pivotal 'Monte Carlo' re-sampling of least squares linear regression modelspivotal.rr
Plotting of Likelihood Ratio Contours from 'wblr' Objectsplot_contour
S3 'wblr' Object Plotting on pretty canvaxplot.wblr
Reduced Bias Adjustment for Weibull and Lognormal MLErba
Create a 'wblr' Object for Life Data Analysiswblr
Add Confidence Interval Bounds to 'wblr' Objectswblr.conf
Add Fit Distributions to 'wblr' Objectswblr.fit
Log likelihood for Weibull and Lognormal fitted data including intervalswblrLoglike
Fitting for Minimal Failure Datasetsweibayes
Fitting for Minimal Failure Datasets using likelihood optimizationweibayes.mle
Extract a bounds dataframe from a 'wblr' Objectxbounds
Extract a Fit Summary from a 'wblr' Objectxfit