Inference and Clustering for Mixture of Multinomial Principal Component Analysis

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Documentation for package ‘MoMPCA’ version 1.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

BBCmsg	BBC articles
benchmark.kmeans_lda	Benchmarks functions for clustering
benchmark.random	Benchmarks functions for clustering
benchmarks-functions	Benchmarks functions for clustering
DTMtoSparse	convert a dtm from package tm to sparseMatrix from package Matrix without converting it to full matrix.
initializeBeta	Beta initialization
initialize_Y	Clustering initialization
mmpcaClust-class	mmpcaClust class
mmpcaClustcontrol-class	mmpcaClustcontrol
mmpca_clust	Greedy procedures for joint inference and clustering in MMPCA
mmpca_clust_modelselect	Model selection for MMPCA
MoMPCA	MoMPCA: Greedy clustering of count data through a mixture of multinomial PCA
plot-method	Plot function for object mmpcaClust
plot_bound	Bound evolution plot
plot_topics	plot_topics
simulate_BBC	simulate_BBC