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| 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 |
| LRbounds3pw | Likelihood Ratio Bounds for the 3-Parameter Weibull |
| 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 |
| 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 |