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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 ORCID iD [aut, cph], Anh Phan [aut, cre], Marc Choisy ORCID iD [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:

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.
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