SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project Nonparametrics for Clustered Binary Data.

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

CorrBin

Nonparametrics with Clustered Binary and Multinomial Data

  Implements non-parametric analyses for clustered binary and multinomial data. The elements of the cluster are assumed exchangeable, and identical joint distribution (also known as marginal compatibility, or reproducibility) is assumed for clusters of different sizes. A trend test based on stochastic ordering is implemented. Szabo A, George EO. (2010) ; George EO, Cheon K, Yuan Y, Szabo A (2016) .
  Version: 1.6 | Last change: 2019-03-06 23:55:35+01 | Rev.: 110
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get CorrBin 1.6.1 from CRAN
  R install command: install.packages("CorrBin", 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)


Oncotree

Estimating Oncogenetic Trees

  Construct and evaluate directed tree structures that model the process of occurrence of genetic alterations during carcinogenesis. Szabo, A. and Boucher, K (2002)
  Version: 0.3.4 | Last change: 2022-04-11 15:39:07+02 | Rev.: 114
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get Oncotree 0.3.5 from CRAN
  R install command: install.packages("Oncotree", 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)


multiCA

Multinomial Cochran-Armitage Trend Test

  Implements a generalization of the Cochran-Armitage trend test to multinomial data. In addition to an overall test, multiple testing adjusted p-values for trend in individual outcomes and power calculation is available.
  Version: 1.1 | Last change: 2017-08-07 18:05:30+02 | Rev.: 106
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get multiCA 1.1 from CRAN
  R install command: install.packages("multiCA", 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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