Inference and Clustering for Mixture of Multinomial Principal Component Analysis


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Documentation for package ‘MoMPCA’ version 1.0.1

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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