R Development Page
Contributed R Packages
Below is a list of all packages provided by project Curve Estimation etc.
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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cobs | Constrained B-Splines (Sparse Matrix Based)
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Qualitatively Constrained (Regression) Smoothing Splines via
Linear Programming and Sparse Matrices. |
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Version: 1.3-4 |
Last change: 2020-01-20 17:53:15+01 |
Rev.: 374 |
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Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | Stable Release: Get cobs 1.3-4 from CRAN |
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R install command:
install.packages("cobs", repos="http://R-Forge.R-project.org") |
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cobs99 | Constrained B-splines -- outdated 1999 version
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Qualitatively Constrained (Regression) Smoothing via Linear
Programming. OUTDATED version based on He & Ng (1999), the modified
"non-simplex" algorithm of Bartels and Conn (1980).
Use cobs instead, unless for historical comparisons. |
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Version: 0.9-12 |
Last change: 2015-07-07 15:23:35+02 |
Rev.: 311 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("cobs99", repos="http://R-Forge.R-project.org") |
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lokern | Kernel Regression Smoothing with Local or Global Plug-in Bandwidth
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Kernel regression smoothing with adaptive local or global plug-in
bandwidth selection. |
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Version: 1.1-9 |
Last change: 2020-07-17 10:00:09+02 |
Rev.: 378 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get lokern 1.1-8.1 from CRAN |
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R install command:
install.packages("lokern", repos="http://R-Forge.R-project.org") |
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lpridge | Local Polynomial (Ridge) Regression
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Local Polynomial Regression with Ridging. |
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Version: 1.0-8 |
Last change: 2018-06-11 22:39:23+02 |
Rev.: 358 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get lpridge 1.0-8 from CRAN |
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R install command:
install.packages("lpridge", repos="http://R-Forge.R-project.org") |
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nor1mix | Normal aka Gaussian 1-d Mixture Models
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Onedimensional Normal (i.e. Gaussian) Mixture Models (S3) Classes,
for, e.g., density estimation or clustering algorithms research and teaching;
providing the widely used Marron-Wand densities. Efficient random
number generation and graphics. Fitting to data by efficient ML (Maximum
Likelihood) or traditional EM estimation. |
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Version: 1.3-1 |
Last change: 2020-02-12 21:57:16+01 |
Rev.: 376 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get nor1mix 1.3-0 from CRAN |
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R install command:
install.packages("nor1mix", repos="http://R-Forge.R-project.org") |
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plugdensity | Plug-in Kernel Density Estimation
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Kernel density estimation with global bandwidth selection
via "plug-in". |
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Version: 0.8-3 |
Last change: 2011-11-30 11:25:10+01 |
Rev.: 238 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get plugdensity 0.8-3 from CRAN |
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R install command:
install.packages("plugdensity", 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.
