SCM

R Development Page

Contributed R Packages

Below is a list of all packages provided by project Gradient forest.

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

conformal

Conformal mapping from a polygon to a disk

  Conformal mapping using Trefethen FORTRAN implementation of the Schwarz-Christoffel transformation
  Version: 1.1 | Last change: 2014-09-24 04:38:46+02 | Rev.: 34
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get conformal 0.2 from CRAN
  R install command: install.packages("conformal", 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)


extendedForest

Breiman and Cutlers random forests for classification and regression

  Classification and regression based on a forest of trees using random inputs.
  Version: 1.6.1 | Last change: 2014-09-12 07:37:50+02 | Rev.: 25
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("extendedForest", 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)


gradientForest

Random Forest functions for the Census of Marine Life synthesis project.

  Analyses species data using random forests, collates the split-point improvements in impurity, and uses these to convert predictor variables into a biologically-informed importance scale. This version allows combinations of gradientForest objects with different predictors.
  Version: 0.1-17 | Last change: 2014-11-28 06:50:59+01 | Rev.: 35
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("gradientForest", 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).

If your package is not shown on this page or not building, then check the build system status report.

Thanks to:
Vienna University of Economics and Business University of Wisconsin - Madison Powered By FusionForge