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RPMM
View on CRAN: Click
here
Download and install RPMM package within the R console
Install from CRAN:
install.packages("RPMM")
Install from Github:
library("remotes")
install_github("cran/RPMM")
Install by package version:
library("remotes")
install_version("RPMM", "1.25")
Attach the package and use:
library("RPMM")
Maintained by
E. Andres Houseman
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-09-09
Latest Update: 2017-02-28
Description:
Recursively Partitioned Mixture Model for Beta and Gaussian Mixtures.
This is a model-based clustering algorithm that returns a hierarchy
of classes, similar to hierarchical clustering, but also similar to
finite mixture models.
How to cite:
E. Andres Houseman (2009). RPMM: Recursively Partitioned Mixture Model. R package version 1.25, https://cran.r-project.org/web/packages/RPMM. Accessed 06 Nov. 2024.
Previous versions and publish date:
Other packages that cited RPMM R package
View RPMM citation profile
Other R packages that RPMM depends,
imports, suggests or enhances
Complete documentation for RPMM
Functions, R codes and Examples using
the RPMM R package
Some associated functions: IlluminaMethylation . betaEst . betaEstMultiple . betaObjf . blc . blcInitializeSplitDichotomizeUsingMean . blcInitializeSplitEigen . blcInitializeSplitFanny . blcInitializeSplitHClust . blcSplit . blcSplitCriterionBIC . blcSplitCriterionBICICL . blcSplitCriterionJustRecordEverything . blcSplitCriterionLRT . blcSplitCriterionLevelWtdBIC . blcSubTree . blcTree . blcTreeApply . blcTreeLeafClasses . blcTreeLeafMatrix . blcTreeOverallBIC . ebayes . gaussEstMultiple . glc . glcInitializeSplitEigen . glcInitializeSplitFanny . glcInitializeSplitHClust . glcSplit . glcSplitCriterionBIC . glcSplitCriterionBICICL . glcSplitCriterionJustRecordEverything . glcSplitCriterionLRT . glcSplitCriterionLevelWtdBIC . glcSubTree . glcTree . glcTreeApply . glcTreeLeafClasses . glcTreeLeafMatrix . glcTreeOverallBIC . glmLC . llikeRPMMObject . plot.blcTree . plot.glcTree . plotImage.blcTree . plotImage.glcTree . plotTree.blcTree . plotTree.glcTree . predict.blcTree . predict.glcTree . print.blcTree . print.glcTree .
Some associated R codes: betaRPMM.R . gaussRPMM.R . rpmmPredict.R . Full RPMM package functions and examples
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