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: [EMAIL PROTECTED] URL : http://pineda-krch.com _______________________________________________ R-packages mailing list [EMAIL PROTECTED] https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
