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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: 2.3-2
Depends: R (≥ 2.10.1)
Enhances: compiler
Published: 2024-10-24
DOI: 10.32614/CRAN.package.adaptivetau
Author: Philip Johnson ORCID iD [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.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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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.