R Development Page
Contributed R Packages
Below is a list of all packages provided by project pi0 estimators.
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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MRPP | Multiresponse permutation procedure and its variable importance
and variable selection methods.
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Multiresponse permutation procedure and its variable importance and variable selection methods. |
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Version: 1.0-361 |
Last change: 2015-05-29 05:36:40+02 |
Rev.: 361 |
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Download:
 (.tar.gz) |
 (.zip) |
Build status: Current |
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R install command:
install.packages("MRPP", repos="http://R-Forge.R-project.org") |
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hisemi | Hierarchical Semiparametric Regression of Test Statistics
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This package implements methods for hierarchical semiparametric regression models for test statistics. Specifically, test statistics given the null/alternative hypotheses are modeled parametrically, whereas the unobservable status of null/alternative hypotheses are modeled using nonparametric additive logistic regression over covariates. |
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Version: 1.0-319 |
Last change: 2013-08-30 23:08:35+02 |
Rev.: 319 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get hisemi 1.1-0 from CRAN |
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R install command:
install.packages("hisemi", repos="http://R-Forge.R-project.org") |
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lassot | Hybrid of lasso and t-regularization
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This package implements method(s) to regularize regression coefficients using a hybrid of lasso (double exponential) and t-prior. |
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Version: 0.1-330 |
Last change: 2014-05-19 02:31:14+02 |
Rev.: 330 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current |
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R install command:
install.packages("lassot", repos="http://R-Forge.R-project.org") |
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pi0 | Estimating the proportion of true null hypotheses for FDR
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This package implements method(s) to (approximately unbiasedly) estimate the proportion of true null hypotheses, i.e., the pi0, when a very large number of hypotheses are simultaneously tested, especially for the purpose of (local) false discovery rate control for microarray data. It also contains functions to estimate the distribution of noncentrality parameters from a large number of parametric tests. |
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Version: 1.3-354 |
Last change: 2014-08-22 09:27:12+02 |
Rev.: 354 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get pi0 1.4-1 from CRAN |
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R install command:
install.packages("pi0", repos="http://R-Forge.R-project.org") |
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varComp | Variance Component Models
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Variance component models: REML estimation, testing fixed effect contrasts through Satterthwaite or Kenward-Roger methods, testing the nullity of variance components through (linear or quadratic) score tests or likelihood ratio tests. |
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Version: 0.1-360 |
Last change: 2015-02-06 17:32:25+01 |
Rev.: 360 |
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Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get varComp 0.2-0 from CRAN |
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R install command:
install.packages("varComp", 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.
