baclava: Bayesian Analysis of Cancer Latency with Auxiliary Variable Augmentation

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: 1.0
Depends: R (≥ 3.5.0)
Imports: Rcpp, RcppNumerical, ggplot2, coda, dplyr, stats, tibble, tidyr, foreach, doParallel
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Suggests: rmarkdown, knitr
Published: 2024-09-25
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
CRAN checks: baclava results

Documentation:

Reference manual: baclava.pdf

Downloads:

Package source: baclava_1.0.tar.gz
Windows binaries: r-devel: baclava_1.0.zip, r-release: baclava_1.0.zip, r-oldrel: baclava_1.0.zip
macOS binaries: r-release (arm64): baclava_1.0.tgz, r-oldrel (arm64): baclava_1.0.tgz, r-release (x86_64): baclava_1.0.tgz, r-oldrel (x86_64): baclava_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=baclava to link to this page.