Weibull-based reliability toolkit for R Code
R package for Weibull analysis on (life-)time observations.
Status: Pre-Alpha
Brought to you by:
moptkaho
File | Date | Author | Commit |
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wbtk | 2013-04-10 |
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[e52fef] removed unnecessary files from the tree |
.gitignore | 2013-04-04 |
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[ec19ae] moved the project to a subfolder |
README.txt | 2013-04-10 |
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[e52fef] removed unnecessary files from the tree |
Weibulltoolkit release notes ---------------------------- weibulltoolkit 0.2.8 changes: - Compiled under 2.15.3 - Starting from this version, the package depends on package 'pivotals' (for fast calculation of pivotal Monte Carlo confidence bounds) that you can download from http://r-forge.r-project.org/projects/abernethy/ or from the 'files' section of the weibulltoolkit project page on Sourceforge. Version 0.2.8 will work with pivotals_0.1.2 weibulltoolkit 0.2.3 changes: - Compiled the package under R 2.14.1, to get rid of "Error in library(weibulltoolkit) : package 'weibulltoolkit' does not have a NAMESPACE and should be re-installed" weibulltoolkit 0.2.2 changes: - The plot.wb() function now only accepts Surv() objects and no data frames anymore. This is for better compatibility with the survival() function and to allow more complicated censoring schemes at a later time. - The wbparams.to.ft() function now accepts another parameter 'fail' and can create Type 2 censored datasets. It also returns Surv() objects and no dataframes. - The Monte Carlo pivotal confidence bounds code is now modified to give better results for censored data. They are still too optimistic for heavily censored data with few failures, however. In the R console, type the following code for more info: vignette("MCpivotalbounds_status",package="weibulltoolkit") The toolkit developers are welcoming suggestions from anyone to improve the quality of these confidence bounds!