Package: BayesCPclust 0.1.0

Ana Carolina da Cruz

BayesCPclust: A Bayesian Approach for Clustering Constant-Wise Change-Point Data

A Gibbs sampler algorithm was developed to estimate change points in constant-wise data sequences while performing clustering simultaneously. The algorithm is described in da Cruz, A. C. and de Souza, C. P. E "A Bayesian Approach for Clustering Constant-wise Change-point Data" <doi:10.48550/arXiv.2305.17631>.

Authors:Ana Carolina da Cruz [aut, cre]

BayesCPclust_0.1.0.tar.gz
BayesCPclust_0.1.0.zip(r-4.7-any)BayesCPclust_0.1.0.zip(r-4.6-any)
BayesCPclust_0.1.0.tar.gz(r-4.7-any)BayesCPclust_0.1.0.tar.gz(r-4.6-any)
BayesCPclust_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BayesCPclust/json (API)

# Install 'BayesCPclust' in R:
install.packages('BayesCPclust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • data - Error free data for all examples.
  • data_a - Error free data for all examples.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 243 downloads 16 exports 6 dependencies

Last updated from:8713ec988e. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK160
source / vignettesOK202
linux-releaseOK212
windows-develOK159
windows-releaseOK150
wasm-releaseOK108

Exports:full_condgibbs_alglogsumexpModepkpossigma2npostalpha0postalphakpostKpostK_mkpostmkqn0qn0_mkqnjrun_gibbsupdate_lambda

Dependencies:cpp11extraDistrgmpRcppRcppAlgosRcppArmadillo