SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project abernethy reliability methods.

Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).

Packages

RRM

Implementation of ReliaSoft Ranking Method

  Likelihood based placement of specific fail time and rank position for data sets including interval data
  Version: 0.1.0 | Last change: 2014-08-06 08:03:36+02 | Rev.: 97
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("RRM", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


abrem

Abernethy Reliability Methods

  Implementation of reliability methods presented in "The New Weibull Handbook", Fifth Edition by Dr. Robert B. Abernethy. This package is dedicated to the control and view of models developed in dependant packages abremPivotals and abremDebias (under construction) implemented using the R object model.
  Version: 0.1.17.2 | Last change: 2017-09-05 02:00:56+02 | Rev.: 121
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("abrem", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


abremDebias

Maximum Likelihood Estimation Models with Bias Adjustment Options for Reliability Analysis

  MLE for Weibull, and lognormal distributions including right, left and interval censored data. Implements 3rd parameter optimizations and likelihood ratio contours for confidence interval determination. Built to be a reverse depend for package abrem "Abernethy Reliability Methods".
  Version: 0.2.9 | Last change: 2017-01-20 20:45:00+01 | Rev.: 119
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("abremDebias", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


abremPivotals

Linear Rank Regression Models with Pivotal Monte Carlo Methods for Reliability Analysis

  Fast linear regression with optional plotting position selections for Weibull, lognormal, and Gumbel distributions including right censored data. Implements 3rd parameter optimizations and a fast pivotal Monte Carlo engine for goodness of fit and confidence interval determination. Built to be a reverse depend for package abrem "Abernethy Reliability Methods".
  Version: 0.2.8 | Last change: 2014-09-27 19:20:25+02 | Rev.: 111
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("abremPivotals", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


debias

Functions implementing MLE,its bias reduction for small samples and related issues

  Reliability Analysis Methods
  Version: 0.1.9 | Last change: 2017-01-14 06:20:34+01 | Rev.: 117
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("debias", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


pivotals

Functions implementing pivotal Monte Carlo methods

  Functions specific to pivotal Monte Carlo analysis for weibull and lognormal distributed data.
  Version: 0.1.10 | Last change: 2014-05-09 18:20:46+02 | Rev.: 86
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("pivotals", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)

 

Build status codes

0 - Current: the package is available for download. The corresponding package passed checks on the Linux and Windows platform without ERRORs.
1 - Scheduled for build: the package has been recognized by the build system and provided in the staging area.
2 - Building: the package has been sent to the build machines. It will be built and checked using the latest patched version of R. Note that it is included in a batch of several packages. Thus, this process will take some time to finish.
3 - Failed to build: the package failed to build or did not pass the checks on the Linux and/or Windows platform. It is not made available since it does not meet the policies.
4 - Conflicts: two or more packages of the same name exist. None of them will be built. Maintainers are asked to negotiate further actions.
5 - Offline: the package is not available. The build system may be offline or the package maintainer did not trigger a rebuild (done e.g., via committing to the package repository).

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