R: Weibull Analysis for Reliability Engineering

# Weibull Analysis for Reliability Engineering

## Documentation for package ‘WeibullR’ version 1.2.4

- DESCRIPTION file

## Help Pages

WeibullR-package | Weibull-R : Weibull Analysis on R
AbPval | Determination of the percentile of r and r-squared, by correlation. Here designated "Abernethy's P-value"
BBB | Beta Binomial Bounds
contour.wblr | S3 Likelihood Ratio Contour Maps From 'wblr' Objects
FMbounds | Fisher Matrix bounds
getCCC2 | Determination of the square of the "Critical Correlation Coefficient" (CCC2).
getPercentilePlottingPositions | Determination of percentile plotting positions for linear regression with many optional methods
getPPP | Alias for 'getPercentilePlottingPositions', sets data into the format required by lslr.
hrbu | Hirose and Ross beta unbias factors for Weibull MLE
LLln | Log Likelihood for log-normal fitted data, failures and suspensions only
LLw | Log Likelihood for weibull fitted data, failures and suspensions only
LRbounds | Likelihood Ratio bounds
lslr | Least squares linear regression with many optional methods
MLEcontour | Likelihood Ratio Contour for Weibull and Lognormal Fitted Data
mlefit | Maximum likelihood regression on Weibull and Lognormal distributions
mleframe | Set life(time) data into the format required by mlefit
MLEln2p | Quick Fit, Maximum Likelihood Estimate for 2-parameter lognormal distributions
MLEln3p | Quick Fit, Maximum Likelihood Estimate for 3-parameter lognormal distributions
MLEw2p | Quick Fit, Maximum Likelihood Estimate for 2-parameter weibull distributions
MLEw3p | Quick Fit, Maximum Likelihood Estimation for weibull distribution in 3-parameters
MRRln2p | Quick Fit, Median rank regression for 2-parameter log-normal distributions
MRRln3p | Quick Fit, Median rank regression for log-normal distribution with third parameter optimization
MRRw2p | Quick Fit, Median rank regression for 2-parameter weibull distributions
MRRw3p | Quick Fit, Median rank regression for weibull distribution in 3-parameters
options.wblr | Options list for 'wblr' Objects
p2y | Transform Probability Value to the Y-Axis of a '"plot.wblr"' Canvas
pivotal.rr | Pivotal 'Monte Carlo' re-sampling of least squares linear regression models
plot.wblr | S3 'wblr' Object Plotting on pretty canvax
plot_contour | Plotting of Likelihood Ratio Contours from 'wblr' Objects
rba | Reduced Bias Adjustment for Weibull and Lognormal MLE
wblr | Create a 'wblr' Object for Life Data Analysis
wblr.conf | Add Confidence Interval Bounds to 'wblr' Objects
wblr.fit | Add Fit Distributions to 'wblr' Objects
wblrLoglike | Log likelihood for Weibull and Lognormal fitted data including intervals
weibayes | Fitting for Minimal Failure Datasets
weibayes.mle | Fitting for Minimal Failure Datasets using likelihood optimization
xbounds | Extract a bounds dataframe from a 'wblr' Object
xfit | Extract a Fit Summary from a 'wblr' Object