The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
Reference manual: | denim.pdf |
Vignettes: |
denim: deterministic discrete-time model with memory denim vs deSolve |
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 |
Please use the canonical form https://CRAN.R-project.org/package=denim to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.