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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: 2.3-1
Depends: R (≥ 2.10.1)
Enhances: compiler
Published: 2024-04-17
Author: Philip Johnson
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.pdf
Vignettes: adaptivetau examples

Downloads:

Package source: adaptivetau_2.3-1.tar.gz
Windows binaries: r-devel: adaptivetau_2.3-1.zip, r-release: adaptivetau_2.3-1.zip, r-oldrel: adaptivetau_2.3-1.zip
macOS binaries: r-release (arm64): adaptivetau_2.3-1.tgz, r-oldrel (arm64): adaptivetau_2.3-1.tgz, r-release (x86_64): adaptivetau_2.3-1.tgz, r-oldrel (x86_64): adaptivetau_2.3-1.tgz
Old sources: adaptivetau archive

Reverse dependencies:

Reverse imports: DSAIDE, DSAIRM, fastbeta

Linking:

Please use the canonical form https://CRAN.R-project.org/package=adaptivetau 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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