R Development Page
Contributed R Packages
Below is a list of all packages provided by project lava [MOVED TO GITHUB].
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
lava | Latent Variable Models | |||||||||
Estimation and simulation of latent variable models | ||||||||||
Version: 1.3.1.1 | Last change: 2014-12-28 12:01:55+01 | Rev.: 1334 | ||||||||||
Download:
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R install command:
install.packages("lava", repos="http://R-Forge.R-project.org") | ||||||||||
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lava.mixture | Mixtures of Linear Latent Variable Models | |||||||||
Estimates mixtures of LVMs via the EM-algorithm | ||||||||||
Version: 0.2-1 | Last change: 2014-12-15 20:18:52+01 | Rev.: 1319 | ||||||||||
Download:
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R install command:
install.packages("lava.mixture", repos="http://R-Forge.R-project.org") | ||||||||||
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lava.nlin | Non-linear latent variable models via StEM and Laplace approximation | |||||||||
Estimation of quadratic polynomial effects in structural equation models | ||||||||||
Version: 0.2-4 | Last change: 2014-12-15 20:18:51+01 | Rev.: 1318 | ||||||||||
Download:
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R install command:
install.packages("lava.nlin", repos="http://R-Forge.R-project.org") | ||||||||||
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lava.tobit | LVM with censored and binary outcomes | |||||||||
lava plugin allowing combinations of left and right censored and binary outcomes | ||||||||||
Version: 0.4-7 | Last change: 2014-09-15 13:54:02+02 | Rev.: 1242 | ||||||||||
Download:
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R install command:
install.packages("lava.tobit", repos="http://R-Forge.R-project.org") | ||||||||||
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mets | Analysis of Multivariate Event Times | |||||||||
Implementation of various statistical models for multivariate event history data. Including multivariate cumulative incidence models, and bivariate random effects probit models (Liability models). Also contains two-stage binomial modelling that can do pairwise odds-ratio dependence modelling based marginal logistic regression models. This is an alternative to the alternating logistic regression approach (ALR). | ||||||||||
Version: 1.0.1 | Last change: 2014-12-15 10:18:41+01 | Rev.: 1317 | ||||||||||
Download:
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R install command:
install.packages("mets", 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).
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