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R Development Page

Contributed R Packages

Below is a list of all packages provided by project GWASBinTests.

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

GWASBinTests

Bin-based analysis of genome-wide association studies

  GWASBinTests is a package to perform genome wide association bin analysis. It computes p-values of association for each bin and the associated FDR. It handles the analysis of several association studies at once. The p-values are based on likelihood scores that takes into account linkage disequilibrium.
  Version: 0.1 | Last change: 2012-03-05 16:26:05+01 | Rev.: 7
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("GWASBinTests", 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)


RcppRandomSFMT

A R and Rcpp interface to the SIMD-oriented Fast Mersenne Twister (SFMT) Random Number Generator provided by http://www.agner.org/random Randomc.

  This package enables to use the SIMD-oriented Fast Mersenne Twister (SFMT) Random Number Generator provided by http://www.agner.org/random Randomc in R packages, in c++ code and in R code. This random generator is very fast and is very well suited to parallelization. It can also produces random number using parallelization that are identical to random bumbers produced in sequential code, leading to reproducible results.
  Version: 0.1 | Last change: 2012-03-09 18:23:43+01 | Rev.: 10
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("RcppRandomSFMT", 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)


RcppSFMT

SFMT random number generator

  SFMT random number generator in C++ based on original implementation by Mutsuo Saito and Makoto Matsumoto
  Version: 0.1 | Last change: 2012-05-29 16:24:39+02 | Rev.: 47
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("RcppSFMT", 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)


RcppSFMTHeaderExample

Test of the C/C++ API of the RcppSFMT using headers only

  Example use of the C++ API offered by RcppSFMT using only the inlined functions
  Version: 0.1 | Last change: 2012-05-29 16:26:29+02 | Rev.: 48
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("RcppSFMTHeaderExample", 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)


rngBenchmarks

Benchmarks of R-level and C-level Random Number Generators

  Benchmarks of R-level and C-level Random Number Generators
  Version: 0.1 | Last change: 2012-04-16 18:02:40+02 | Rev.: 13
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("rngBenchmarks", 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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