Bayesian Clustering Using the Table Invitation Prior (TIP) [R package tip version 0.1.0]

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年11月14日

DOI: 10.32614/CRAN.package.tip

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.html , tip.pdf

Vignettes: matrix-clustering-CONSTANT-vignette (source, R code)
matrix-clustering-MNIW-vignette (source, R code)
tensor-clustering-CONSTANT-vignette (source, R code)
iris-NIW-vignette (source, R code)
usarrests-NIW-vignette (source, R code)

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:

Please use the canonical form https://CRAN.R-project.org/package=tip to link to this page.