SCM

R Development Page

Contributed R Packages

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

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

ModelDataComp

Model-Data Comparison

  Metrics and plots for model-data comparison. The package provides functions to 1) compute model performance metrics (function ObjFct), to 2) fit empirical models to data (function MultiFit), and to 3) make model-data comparison plots (functions ScatterPlot, plot.ObjFct with barplots and scatterplots of objective functions, TaylorPlot, WollMilchSauPlot to plot means, distributions and correlations between observations and models).
  Version: 1.01 | Last change: 2017-01-05 15:26:05+01 | Rev.: 94
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("ModelDataComp", 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)


SOfireA

Satellite Observations for Fire Activity

  SOFIA (Satellite Observations for Fire Activity) is an empirical modelling concept to predict burned area based on satellite and climate data. The package implements the basic SOFIA model structure, and functions to optimize and plot SOFIA models.
  Version: 1.0 | Last change: 2016-12-07 14:19:16+01 | Rev.: 90
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("SOfireA", 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)


greenbrown

Land Surface Phenology and Trend Analysis

  Collection of functions to analyse trends, trend changes and phenology events in gridded time series like from satellite observations or climate model simulations. The package provides access to different methods for 1) trend and breakpoint analysis, 2) time series smoothing and interpolation, and 3) analysis of land surface phenology.
  Version: 2.4.3 | Last change: 2017-03-06 10:05:33+01 | Rev.: 96
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("greenbrown", 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