R Development Page
Contributed R Packages
Below is a list of all packages provided by project Species Distribution Modelling.
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
sdm | Species Distribution Modelling | |||||||||
An extensible framework for developing species distribution
models using individual and community-based approaches, generate ensembles of
models, evaluate the models, and predict species potential distributions in
space and time. For more information, please check the following paper:
Naimi, B., Araujo, M.B. (2016) | ||||||||||
Version: 1.0-49 | Last change: 2018-04-02 19:01:02+02 | Rev.: 69 | ||||||||||
Download: (.tar.gz) | (.zip) | Build status: Current | Stable Release: Get sdm 1.2-32 from CRAN | ||||||||||
R install command:
install.packages("sdm", repos="http://R-Forge.R-project.org") | ||||||||||
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sdmo | Species Distribution Modelling (old version) | |||||||||
sdm is an extendable framework to develop species distributions models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time. | ||||||||||
Version: 0.0-12 | Last change: 2016-03-31 08:40:30+02 | Rev.: 21 | ||||||||||
Download: (.tar.gz) | (.zip) | Build status: Current | ||||||||||
R install command:
install.packages("sdmo", 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.
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