Package: BTIME 1.0.1

Chase Sakitis

BTIME: Bayesian Hierarchical Models for Single-Cell Protein Data

Bayesian Hierarchical beta-binomial models for modeling cell population to predictors/exposures. This package utilizes 'runjags' to run Gibbs sampling, parallelizing the chains. Options for different covariances/relationship structures between parameters of interest.

Authors:Chase Sakitis [aut, cre], Brooke Fridley [aut]

BTIME_1.0.1.tar.gz
BTIME_1.0.1.tar.gz(r-4.7-any)BTIME_1.0.1.tar.gz(r-4.6-any)
BTIME_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BTIME/json (API)

# Install 'BTIME' in R:
install.packages('BTIME', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

jagscpp

2.60 score 1 scripts 267 downloads 1 exports 98 dependencies

Last updated from:f4471fa6f6. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK171
source / vignettesOK202
linux-release-x86_64OK130
wasm-releaseOK192

Exports:BICAM

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicodacolorspacecowplotcpp11DerivdigestdoBydplyrevaluatefarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lmtestmagrittrMASSmatlibMatrixMatrixModelsmemoisemgcvmimeminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrglrjagsrlangrmarkdownrstudioapirunjagsS7sassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytexurcautf8vctrsVGAMviridisLitewithrxfunxtableyamlzoo

BICAM
Installation | Dataset | BICAM Output
Rendered fromBICAM.Rmdusingknitr::rmarkdown

Last update: 2025-10-07
Started: 2025-10-07

BICAM: Covariance Structures
Covariance Structures | Example | 1. Unstructured | 2. Exponential Decay | 3. Tree | 4. Scaled Tree | 5. Multi-Level Tree
Rendered fromBICAM_Cov.Rmdusingknitr::rmarkdown

Last update: 2025-10-07
Started: 2025-10-07