denim: Generate and Simulate Deterministic Discrete-Time Compartmental Models
R package to build and simulate deterministic discrete-time compartmental models that can be non-Markov. Length of stay in each compartment can be defined to follow a parametric distribution (d_exponential(), d_gamma(), d_weibull(), d_lognormal()) or a non-parametric distribution (nonparametric()). Other supported types of transition from one compartment to another includes fixed transition (constant()), multinomial (multinomial()), fixed transition probability (transprob()).
| Version: | 1.0.0 |
| Imports: | Rcpp (≥ 1.0.6), viridisLite |
| LinkingTo: | Rcpp, testthat |
| Suggests: | covr, knitr, rmarkdown, testthat (≥ 3.0.0), xml2, deSolve, DiagrammeR |
| Published: | 2024-06-05 |
| DOI: | 10.32614/CRAN.package.denim |
| Author: | Thinh Ong  [aut,
cph],
Anh Phan [aut, cre],
Marc Choisy [aut],
Niels Lohman [ctb],
Bjoern Hoehrmann [ctb],
Florian Loitsch [ctb],
Ingo Berg [ctb] |
| Maintainer: | Anh Phan <anhptq at oucru.org> |
| BugReports: | https://github.com/thinhong/denim/issues |
| License: | MIT + file LICENSE |
| URL: | https://drthinhong.com/denim/, https://github.com/thinhong/denim |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | denim results |
Documentation:
| Reference manual: | denim.pdf |
| Vignettes: |
denim: deterministic discrete-time model with memory denim vs deSolve |
Downloads:
| Package source: | denim_1.0.0.tar.gz |
| Windows binaries: | r-devel: denim_1.0.0.zip, r-release: denim_1.0.0.zip, r-oldrel: denim_1.0.0.zip |
| macOS binaries: | r-release (arm64): denim_1.0.0.tgz, r-oldrel (arm64): denim_1.0.0.tgz, r-release (x86_64): denim_1.0.0.tgz, r-oldrel (x86_64): denim_1.0.0.tgz |
Linking:
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