supcluster: Supervised Cluster Analysis

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Clusters features under the assumption that each cluster has a random effect and there is an outcome variable that is related to the random effects by a linear regression. In this way the cluster analysis is ``supervised'' by the outcome variable. An alternate specification is that features in each cluster have the same compound symmetric normal distribution, and the conditional distribution of the outcome given the features has the same coefficient for each feature in a cluster.

Author
David A. Schoenfeld, Jesse Hsu
Date of publication
2015-05-18 22:45:09
Maintainer
David A. Schoenfeld <dschoenfeld@mgh.harvard.edu>
License
GPL-2
Version
1.0

View on CRAN

Man pages

beta.by.gene
Utility to Associate the Value of beta with the Feature it is...
compare.chains
Compare Chains to Test Algorithm Coverage
concordmap
Calculate the Frequency with which each Pair of Features are...
gene_names
Trauma Data for Supervised Clustering
generate.cluster.data
Function to Generate Data According to the Supcluster Model
supcluster
Clustering of Features Supervised by an Outcome
supcluster-package
Supervised Cluster Anaysis
tab1
Simulates Supcluster Function
trauma_data
Trauma Data for Supervised Clustering

Files in this package

supcluster
supcluster/NAMESPACE
supcluster/data
supcluster/data/gene_names.rda
supcluster/data/trauma_data.rda
supcluster/R
supcluster/R/supcluster.R
supcluster/R/generate.cluster.data.R
supcluster/R/tab1.R
supcluster/R/concordmap.R
supcluster/MD5
supcluster/DESCRIPTION
supcluster/man
supcluster/man/tab1.Rd
supcluster/man/beta.by.gene.Rd
supcluster/man/generate.cluster.data.Rd
supcluster/man/trauma_data.Rd
supcluster/man/gene_names.Rd
supcluster/man/concordmap.Rd
supcluster/man/supcluster-package.Rd
supcluster/man/supcluster.Rd
supcluster/man/compare.chains.Rd