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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 |
| Reference manual: | baclava.pdf |
| 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 |
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