tip: Bayesian Clustering Using the Table Invitation Prior (TIP)

Cluster data without specifying the number of clusters using the Table Invitation Prior (TIP) introduced in the paper "Clustering Gene Expression Using the Table Invitation Prior" by Charles W. Harrison, Qing He, and Hsin-Hsiung Huang (2022) <doi:10.3390/genes13112036>. TIP is a Bayesian prior that uses pairwise distance and similarity information to cluster vectors, matrices, or tensors.

Version:	0.1.0
Imports:	rlang, igraph, network, ggplot2, GGally, LaplacesDemon, changepoint, parallel, doParallel, foreach, methods, mniw
Suggests:	knitr, sna, mcclust, SMFilter, rmarkdown, spelling, testthat (≥ 3.0.0)
Published:	2022-11-14
Author:	Charles W. Harrison [cre, aut, cph], Qing He [aut, cph], Hsin-Hsiung Huang [aut, cph]
Maintainer:	Charles W. Harrison <charleswharrison at knights.ucf.edu>
License:	MIT + file LICENSE
NeedsCompilation:	no
Language:	en-US
Materials:	README
CRAN checks:	tip results

Documentation:

Reference manual:	tip.pdf
Vignettes:	matrix-clustering-CONSTANT-vignette matrix-clustering-MNIW-vignette tensor-clustering-CONSTANT-vignette iris-NIW-vignette usarrests-NIW-vignette

Downloads:

Package source:	tip_0.1.0.tar.gz
Windows binaries:	r-devel: tip_0.1.0.zip, r-release: tip_0.1.0.zip, r-oldrel: tip_0.1.0.zip
macOS binaries:	r-release (arm64): tip_0.1.0.tgz, r-oldrel (arm64): tip_0.1.0.tgz, r-release (x86_64): tip_0.1.0.tgz, r-oldrel (x86_64): tip_0.1.0.tgz

Linking:

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