MixAll-package: MixAll Allows to estimate parametric mixture models with...
In MixAll: Clustering and Classification using Model-Based Mixture Models
Description
This package contains methods allowing R users to use the clustering methods
of the STK++ library.
Details
As described at the STK++ project's home page, https://www.stkpp.org,
STK++ is a versatile, fast, reliable and elegant collection of C++ classes
for statistics, clustering, linear algebra, arrays (with an Eigen-like API),
regression, dimension reduction, etc. Some functionalities provided by the
library are available in the R environment as R functions in MixAll.
The available functionalities are:
Clustering (clusterDiagGaussian, clusterCategorical,
clusterPoisson, clusterGamma, clusterMixedData)
Learning ( (learnDiagGaussian, learnCategorical,
learnPoisson, learnGamma, learnMixedData),
Prediction (clusterPredict).
Author(s)
Serge Iovleff
MixAll documentation built on Sept. 12, 2019, 5:05 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
This package contains methods allowing R users to use the clustering methods of the STK++ library.
Details
As described at the STK++ project's home page, https://www.stkpp.org, STK++ is a versatile, fast, reliable and elegant collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. Some functionalities provided by the library are available in the R environment as R functions in MixAll.
The available functionalities are:
Clustering (clusterDiagGaussian, clusterCategorical, clusterPoisson, clusterGamma, clusterMixedData)
Learning ( (learnDiagGaussian, learnCategorical, learnPoisson, learnGamma, learnMixedData),
Prediction (clusterPredict).
Author(s)
Serge Iovleff
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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