adaptivetau: Tau-Leaping Stochastic Simulation

Implements adaptive tau leaping to approximate the trajectory of a continuous-time stochastic process as described by Cao et al. (2007) The Journal of Chemical Physics <doi:10.1063/1.2745299> (aka. the Gillespie stochastic simulation algorithm). This package is based upon work supported by NSF DBI-0906041 and NIH K99-GM104158 to Philip Johnson and NIH R01-AI049334 to Rustom Antia.

Version:	2.3-2
Depends:	R (≥ 2.10.1)
Enhances:	compiler
Published:	2024-10-24
DOI:	10.32614/CRAN.package.adaptivetau
Author:	Philip Johnson [aut, cre]
Maintainer:	Philip Johnson <plfj at umd.edu>
BugReports:	https://github.com/plfjohnson/adaptivetau/issues
License:	GPL (≥ 3)
URL:	https://github.com/plfjohnson/adaptivetau
NeedsCompilation:	yes
Materials:	NEWS
In views:	DifferentialEquations
CRAN checks:	adaptivetau results

Documentation:

Reference manual:	adaptivetau.html , adaptivetau.pdf
Vignettes:	adaptivetau examples (source, R code)

Downloads:

Package source:	adaptivetau_2.3-2.tar.gz
Windows binaries:	r-devel: adaptivetau_2.3-2.zip, r-release: adaptivetau_2.3-2.zip, r-oldrel: adaptivetau_2.3-2.zip
macOS binaries:	r-release (arm64): adaptivetau_2.3-2.tgz, r-oldrel (arm64): adaptivetau_2.3-2.tgz, r-release (x86_64): adaptivetau_2.3-2.tgz, r-oldrel (x86_64): adaptivetau_2.3-2.tgz
Old sources:	adaptivetau archive

Reverse dependencies:

Reverse imports:	DSAIDE, DSAIRM
Reverse suggests:	fastbeta

Linking:

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