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: not available, r-release: baclava_1.0.zip, r-oldrel: not available
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:

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