R Development Page
Contributed R Packages
Below is a list of all packages provided by project MixCluster.
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
| MixCluster | MixCluster performs the clustering of mixed-type data sets (data sets with different natures of variables) with missing values. | |||||||||
| MixCluster performs the cluster analysis of mixed-type data (data set composed by different natures of variables). More precisely, it can analyze data whose the variables are continuous, integer, binary or ordinal. MixCluster models the data distribution by a mixture model of Gaussian copulas (Marbac and al, 2015). Therefore, it takes the intra-class dependencies into account and the one-dimensional margins of its components follow classical distributions (Gaussian, Poisson or multinomial). The inference is performed by a Gibbs sampler implemented in MixCluster. Moreover, tool-functions are focused on the data visualization. They used the latent variables related to the Gaussian copulas in order to obtain a scatterplot of the individuals per class by using PCA-type visualization. This approach also permit to summarize the intra-class dependencies. | ||||||||||
| Version: 1.0 | Last change: 2015-09-24 17:29:58+02 | Rev.: 19 | ||||||||||
Download:
 (.tar.gz) |
 (.zip) |
Build status: Current | ||||||||||
R install command:
install.packages("MixCluster", 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.
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If your package is not shown on this page or not building, then check the build system status report.
