Package: adaptivetau 2.3-1

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.

Authors:Philip Johnson

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adaptivetau.pdf |adaptivetau.html✨
adaptivetau/json (API)
NEWS

# Install 'adaptivetau' in R:
install.packages('adaptivetau', repos = c('https://plfjohnson.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/plfjohnson/adaptivetau/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

3 exports 2.73 score 0 dependencies 2 dependents 10 mentions 137 scripts 837 downloads

Last updated 5 months agofrom:396f7a2cfd. Checks:OK: 8 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-win-x86_64NOTESep 14 2024
R-4.5-linux-x86_64OKSep 14 2024
R-4.4-win-x86_64OKSep 14 2024
R-4.4-mac-x86_64OKSep 14 2024
R-4.4-mac-aarch64OKSep 14 2024
R-4.3-win-x86_64OKSep 14 2024
R-4.3-mac-x86_64OKSep 14 2024
R-4.3-mac-aarch64OKSep 14 2024

Exports:ssa.adaptivetaussa.exactssa.maketrans

Dependencies:

adaptivetau examples

Rendered fromadaptivetau.Rnwusingutils::Sweaveon Sep 14 2024.

Last update: 2014-11-19
Started: 2012-04-09