[R-pkgs] New version of GillespieSSA package uploaded to CRAN

[Mario Pineda-Krch]

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