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 |
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