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Bayesian Clustering Using the Table Invitation Prior (TIP)

Installation

About

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.

Key Metrics

Version 0.1.0
Published 2022-11-14 538 days ago
Needs compilation? no
License MIT
License File
CRAN checks tip results
Language en-US

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Maintainer

Maintainer

Charles W. Harrison

charleswharrison@knights.ucf.edu

Authors

Charles W. Harrison

cre / aut / cph

Qing He

aut / cph

Hsin-Hsiung Huang

aut / cph

Material

README
Reference manual
Package source

Vignettes

matrix-clustering-CONSTANT-vignette
matrix-clustering-MNIW-vignette
tensor-clustering-CONSTANT-vignette
iris-NIW-vignette
usarrests-NIW-vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Imports

rlang
igraph
network
ggplot2
GGally
LaplacesDemon
changepoint
parallel
doParallel
foreach
methods
mniw

Suggests

knitr
sna
mcclust
SMFilter
rmarkdown
spelling
testthat ≥ 3.0.0