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WeibullR (version 1.2.4)

Weibull Analysis for Reliability Engineering

Description

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).

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Version

Install

install.packages('WeibullR')

Monthly Downloads

399

Version

1.2.4

License

GPL (>= 3)

Maintainer

Jacob T Ormerod

Last Published

October 9th, 2025

Functions in WeibullR (1.2.4)

getPercentilePlottingPositions

Determination of percentile plotting positions for linear regression with many optional methods

Quick Fit, Maximum Likelihood Estimation for weibull distribution in 3-parameters

Quick Fit, Median rank regression for weibull distribution in 3-parameters

Determination of the square of the "Critical Correlation Coefficient" (CCC2).

Quick Fit, Median rank regression for 2-parameter log-normal distributions

Plotting of Likelihood Ratio Contours from wblr Objects

Hirose and Ross beta unbias factors for Weibull MLE

S3 wblr Object Plotting on pretty canvax

Pivotal 'Monte Carlo' re-sampling of least squares linear regression models

Set life(time) data into the format required by mlefit

Maximum likelihood regression on Weibull and Lognormal distributions

Options list for wblr Objects

Transform Probability Value to the Y-Axis of a "plot.wblr" Canvas

Least squares linear regression with many optional methods

Extract a Fit Summary from a wblr Object

Extract a bounds dataframe from a wblr Object

Reduced Bias Adjustment for Weibull and Lognormal MLE

Fitting for Minimal Failure Datasets using likelihood optimization

Fitting for Minimal Failure Datasets

Add Confidence Interval Bounds to wblr Objects

Create a wblr Object for Life Data Analysis

Add Fit Distributions to wblr Objects

Log likelihood for Weibull and Lognormal fitted data including intervals

Fisher Matrix bounds

Likelihood Ratio bounds

Quick Fit, Maximum Likelihood Estimate for 2-parameter weibull distributions

Quick Fit, Maximum Likelihood Estimate for 3-parameter lognormal distributions

WeibullR-package

Weibull-R : Weibull Analysis on R

S3 Likelihood Ratio Contour Maps From wblr Objects

Log Likelihood for weibull fitted data, failures and suspensions only

Likelihood Ratio Contour for Weibull and Lognormal Fitted Data

Beta Binomial Bounds

Log Likelihood for log-normal fitted data, failures and suspensions only

Determination of the percentile of r and r-squared, by correlation. Here designated "Abernethy's P-value"

Quick Fit, Median rank regression for log-normal distribution with third parameter optimization

Alias for getPercentilePlottingPositions, sets data into the format required by lslr.

Quick Fit, Maximum Likelihood Estimate for 2-parameter lognormal distributions

Quick Fit, Median rank regression for 2-parameter weibull distributions