[R] [R-pkgs] New version of GillespieSSA package uploaded to CRAN
Mario Pineda-Krch
pineda at zoology.ubc.ca
Thu Oct 4 22:34:24 CEST 2007
Dear useRs,
A new version of the package GillespieSSA (0.3-1) has been uploaded to
CRAN.
The GillespieSSA package (Gillespie's Stochastic Simulation Algorithm)
provides a simple to use, versatile, and extensible interface to a
number of Monte Carlo implementations of the stochastic simulation
algorithm (SSA) and is intended for scientists, teachers, and students
alike.
The SSA is a numerical procedure for generating statistically correct
trajectories of finite well-mixed populations in continuous time. The
methods currently implemented are: the Direct method, Explicit
tau-leaping, Binomial tau-leaping, and Optimized tau-leaping. The
package also provides a library of molecular, ecological and
epidemiological example models (as demos) that can easily be customized
and extended. Currently the following models are included,
Decaying-Dimerization Reaction Set, Linear Molecular Chain System,
single-species logistic growth model, Lotka predator-prey model,
Rosenzweig-MacArthur predator-prey model, and Kermack-McKendrick SIR model.
The release consists of several bug fixes, improved documentation, and a
revised more 'R-like' management of model parameters.
A vignette providing a tutorial of basic SSA theory, usage of the
package using additional example models is currently being finalized.
Although it is not part of this release a preprint is available upon
request.
Comments are welcome,
Mario Pineda-Krch
-----------------------------------------------------------
Mario Pineda-Krch, Post Doctoral Fellow
Center for Animal Disease Modeling and Surveillance (CADMS)
University Of California, Davis, CA 95616, U.S.A.
Phone: (530) 297-4621
Fax: (530) 297-4618
Email: pineda at zoology.ubc.ca
URL : http://pineda-krch.com
_______________________________________________
R-packages mailing list
R-packages at r-project.org
https://stat.ethz.ch/mailman/listinfo/r-packages
More information about the R-help
mailing list