doi:10.3390/genes13112036>. TIP is a Bayesian prior that uses pairwise distance and similarity information to cluster vectors, matrices, or tensors.">

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

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
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
License: MIT + file
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: tip results

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