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baclava: Bayesian Analysis of Cancer Latency with Auxiliary VariableAugmentation

A novel data-augmentation Markov chain Monte Carlo sampling algorithm to fit a progressive compartmental model of disease in a Bayesian framework Morsomme, R.N., Holloway, S.T., Ryser, M.D. and Xu J. (2024) <doi:10.48550/arXiv.2408.14625>.

Version:1.1
Depends:R (≥ 4.1.0)
Imports:Rcpp,RcppNumerical,ggplot2,coda,dplyr, stats,tibble,tidyr,foreach,doParallel
LinkingTo:Rcpp,RcppEigen,RcppNumerical
Suggests:rmarkdown,knitr
Published:2025-05-04
DOI:10.32614/CRAN.package.baclava
Author:Raphael N. Morsomme [aut], Shannon T. Holloway [aut, cre], Jason Xu [ctb], Marc D. Ryser [ctb]
Maintainer:Shannon T. Holloway <shannon.t.holloway at gmail.com>
License:GPL-3
NeedsCompilation:yes
Materials:NEWS
CRAN checks:baclava results

Documentation:

Reference manual:baclava.html ,baclava.pdf

Downloads:

Package source: baclava_1.1.tar.gz
Windows binaries: r-devel:baclava_1.1.zip, r-release:baclava_1.1.zip, r-oldrel:baclava_1.1.zip
macOS binaries: r-release (arm64):baclava_1.1.tgz, r-oldrel (arm64):baclava_1.1.tgz, r-release (x86_64):baclava_1.1.tgz, r-oldrel (x86_64):baclava_1.1.tgz
Old sources: baclava archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=baclavato link to this page.


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