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:

Please use the canonical form https://CRAN.R-project.org/package=denim to link to this page.