AbPval                  Determination of the percentile of r and
                        r-squared, by correlation. Here designated
                        "Abernethy's P-value"
BBB                     Beta Binomial Bounds
FMbounds                Fisher Matrix bounds
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
MLEcontour              Likelihood Ratio Contour for Weibull and
                        Lognormal Fitted Data
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
WeibullR-package        Weibull-R : Weibull Analysis on R
contour.wblr            S3 Likelihood Ratio Contour Maps From 'wblr'
                        Objects
getCCC2                 Determination of the square of the "Critical
                        Correlation Coefficient" (CCC2).
getPPP                  Alias for 'getPercentilePlottingPositions',
                        sets data into the format required by lslr.
getPercentilePlottingPositions
                        Determination of percentile plotting positions
                        for linear regression with many optional
                        methods
hrbu                    Hirose and Ross beta unbias factors for Weibull
                        MLE
lslr                    Least squares linear regression with many
                        optional methods
mlefit                  Maximum likelihood regression on Weibull and
                        Lognormal distributions
mleframe                Set life(time) data into the format required by
                        mlefit
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
pivotal3pw              Pivotal (Parametric Bootstrap) Rank Regression
                        Bounds for the 3-Parameter Weibull
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
xfit                    Extract a Fit Summary from a 'wblr' Object
