Package: BAREB 0.1.2

Qingyang Liu

BAREB: A Bayesian Repulsive Biclustering Model for Periodontal Data

Simultaneously clusters the Periodontal diseases (PD) patients and their tooth sites after taking the patient- and site-level covariates into consideration. 'BAREB' uses the determinantal point process (DPP) prior to induce diversity among different biclusters to facilitate parsimony and interpretability. Essentially, 'BAREB' is a cluster-wise linear model based on Yuliang (2020) <doi:10.1002/sim.8536>.

Authors:Yuliang Li [aut], Yanxun Xu [aut], Dipankar Bandyopadhyay [aut], John Burkardt [ctb], Qingyang Liu [aut, cre]

BAREB_0.1.2.tar.gz
BAREB_0.1.2.tar.gz(r-4.7-arm64)BAREB_0.1.2.tar.gz(r-4.7-x86_64)BAREB_0.1.2.tar.gz(r-4.6-arm64)BAREB_0.1.2.tar.gz(r-4.6-x86_64)
BAREB_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BAREB/json (API)

# Install 'BAREB' in R:
install.packages('BAREB', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • Init - The initial value of patient- and site-level covariates for simulation
  • obs - The simulation observation
  • truth - The simulation truth

On CRAN:

Conda:

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

openblascppopenmp

1.00 score 3 scripts 204 downloads 20 exports 2 dependencies

Last updated from:6112efd66d. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK175
linux-devel-x86_64OK139
source / vignettesOK161
linux-release-arm64OK169
linux-release-x86_64OK130
wasm-releaseOK111

Exports:constkernelClikeli_thetaRJiRJi_emptyupdate_RJupdate_sigma_squreupdate_theta_betaupdate_theta_gammaupdate_wupdate_w_betaupdateBetaupdatecupdateCupdateEupdateGammaupdatemuupdatemustarupdateRupdateZstar

Dependencies:RcppRcppArmadillo