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: 2018-09-07 06:31:41+02 | Rev.: 36 | ||||||||||
Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("conformal", repos="http://R-Forge.R-project.org") | ||||||||||
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| extendedForest | Breiman and Cutlers random forests for classification and regression | |||||||||
| Classification and regression based on a forest of trees using random inputs. | ||||||||||
| Version: 1.6.2 | Last change: 2023-12-12 05:18:38+01 | Rev.: 89 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("extendedForest", repos="http://R-Forge.R-project.org") | ||||||||||
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| 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: 0.1-37 | Last change: 2023-08-19 06:42:30+02 | Rev.: 87 | ||||||||||
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("gradientForest", repos="http://R-Forge.R-project.org") | ||||||||||
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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.
