R Development Page
Contributed R Packages
Below is a list of all packages provided by project AFLP.
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
| AFLP | Analysis of AFLP data | |||||||||
| This package assists the analysis of amplified fragment length polymorphism (AFLP) DNA fingerprinting. It has function to randomise samples, calibrate the fluoresences pattern, score the calibrated patterns and do some basic analysis on the scored patterns. | ||||||||||
| Version: 0.4.0-71 | Last change: 2014-04-23 14:21:56+02 | Rev.: 71 | ||||||||||
Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("AFLP", repos="http://R-Forge.R-project.org") | ||||||||||
|
| GRTS | Spatially balanced sampling based on GRTS | |||||||||
| Spatially balanced sampling based on the general randomized tessellation stratified principle by Stevens, Don L. and Olsen, Anthony R. (1999) "Spatially balanced sampling of natural resources" Journal of the American Statistical Association, 99, 262-278. | ||||||||||
| Version: 0.1.6-71 | Last change: 2014-11-10 10:02:19+01 | Rev.: 73 | ||||||||||
|
Download:
(.tar.gz) |
(.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("GRTS", repos="http://R-Forge.R-project.org") | ||||||||||
|
| INBOtheme | Themes for ggplot2 | |||||||||
| Several themes for the ggplot2 package. Among others themes complying with the style guide for the Research Institute for Nature and Forest (INBO) and Elsevier journals. | ||||||||||
| Version: 0.4.0 | Last change: 2014-11-10 10:02:19+01 | Rev.: 73 | ||||||||||
|
Download:
(.tar.gz) |
(.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("INBOtheme", repos="http://R-Forge.R-project.org") | ||||||||||
|
| RecSelect | Using GRTS to sample along time | |||||||||
| Create a GRTS sample for timestamps. | ||||||||||
| Version: 0.1-71 | Last change: 2014-04-23 14:21:56+02 | Rev.: 71 | ||||||||||
|
Download:
(.tar.gz) |
(.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("RecSelect", repos="http://R-Forge.R-project.org") | ||||||||||
|
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.
