R Development Page
Contributed R Packages
Below is a list of all packages provided by project dcr - Data Cloning in R.
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).
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PVAClone | Population Viability Analysis with Data Cloning
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Likelihood based population viability analysis in the
presence of observation error and missing data.
The package can be used to fit, compare, predict,
and forecast various growth model types using data cloning. |
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Version: 0.1-2 |
Last change: 2014-05-19 10:35:51+02 |
Rev.: 1063 |
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Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | Stable Release: Get PVAClone 0.1-7 from CRAN |
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R install command:
install.packages("PVAClone", repos="http://R-Forge.R-project.org") |
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ResourceSelection | Resource Selection (Probability) Functions for Use-Availability Data
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Resource Selection (Probability) Functions for
use-availability wildlife data as described in
Lele and Keim (2006, Ecology 87, 3021--3028),
and Lele (2009, J. Wildlife Management 73, 122--127). |
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Version: 0.2-4 |
Last change: 2014-05-19 10:35:51+02 |
Rev.: 1063 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get ResourceSelection 0.3-6 from CRAN |
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R install command:
install.packages("ResourceSelection", repos="http://R-Forge.R-project.org") |
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dclone | Data Cloning and MCMC Tools for Maximum Likelihood Methods
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Low level functions for implementing
maximum likelihood estimating procedures for
complex models using data cloning and Bayesian
Markov chain Monte Carlo methods.
Sequential and parallel MCMC support
for JAGS, WinBUGS and OpenBUGS. |
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Version: 2.0-0 |
Last change: 2013-10-01 21:05:32+02 |
Rev.: 1045 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get dclone 2.3-2 from CRAN |
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R install command:
install.packages("dclone", repos="http://R-Forge.R-project.org") |
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dcmle | Hierarchical Models Made Easy with Data Cloning
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S4 classes around infrastructure
provided by the dclone package to make package
development with data cloning for hierarchical
models easy as a breeze. |
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Version: 0.2-4 |
Last change: 2013-10-01 21:06:12+02 |
Rev.: 1046 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get dcmle 0.4-1 from CRAN |
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R install command:
install.packages("dcmle", repos="http://R-Forge.R-project.org") |
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detect | Analyzing Wildlife Data with Detection Error
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The package implements models to analyze
site occupancy and count data models with detection error.
The package development was supported by the
Alberta Biodiversity Monitoring Institute (ABMI)
and the Boreal Avian Modelling (BAM) Project. |
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Version: 0.3-2 |
Last change: 2014-05-16 18:57:03+02 |
Rev.: 1062 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get detect 0.4-6 from CRAN |
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R install command:
install.packages("detect", repos="http://R-Forge.R-project.org") |
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pbapply | Adding Progress Bar to *apply Functions
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A lightweight package that adds
progress bar to vectorized R functions
(*apply). The implementation can easily be added
to functions, where showing the progress is
useful for the user (e.g. bootstrap). |
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Version: 1.1-1 |
Last change: 2014-05-16 18:32:46+02 |
Rev.: 1061 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get pbapply 1.7-2 from CRAN |
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R install command:
install.packages("pbapply", repos="http://R-Forge.R-project.org") |
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sharx | Models and Data Sets for the Study of Species-Area Relationships
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Data sets and SAR, SARX, HSAR and HSARX
models as described in Solymos and Lele
(2012, GEB 21, 109-120). |
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Version: 1.0-4 |
Last change: 2014-05-19 10:35:51+02 |
Rev.: 1063 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get sharx 1.0-5 from CRAN |
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R install command:
install.packages("sharx", 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.
