MCSim: A Monte Carlo Simulation Program. MCSim consists of two pieces, a model generator and a simulation engine. The model generator, mod, was created to facilitate the model maintenance and simulation definition, while keeping execution time fast. Other programs have been created to the same end, the Matlab family of graphical interactive programs being some of the more general and easy to use. Still, many available tools are not optimal for performing time and computer intensive Monte Carlo analysis. MCSim was created specifically to this end: to perform Monte Carlo analysis in a highly optimized, and easy to maintain environment.
Keywords for this software
References in zbMATH (referenced in 8 articles , 1 standard article )
Showing results 1 to 8 of 8.
- Amir Shahmoradi, Fatemeh Bagheri: ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran (2020) arXiv
- Wentworth, Mami T.; Smith, Ralph C.; Williams, Brian: Bayesian model calibration and uncertainty quantification for an HIV model using adaptive Metropolis algorithms (2018)
- Robert Pearce and R. Setzer and Cory Strope and Nisha Sipes and John Wambaugh: httk: R Package for High-Throughput Toxicokinetics (2017) not zbMATH
- Milner, Peter; Gillespie, Colin S.; Wilkinson, Darren J.: Moment closure based parameter inference of stochastic kinetic models (2013)
- Campbell, David; Steele, Russell J.: Smooth functional tempering for nonlinear differential equation models (2012)
- Bois, Frédéric Y.: GNU mcsim: Bayesian statistical inference for SBML-coded systems biology models (2009) ioport
- Chiu, Weihsueh A.; Bois, Frédéric Y.: An approximate method for population toxicokinetic analysis with aggregated data (2007)
- Frederic Bois; Don Maszle: MCSim: A Monte Carlo Simulation Program (1997) not zbMATH