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: |
1.1 |
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:
Downloads:
Linking:
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https://CRAN.R-project.org/package=baclava
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