Automated parameter estimation for complex (ecological) models in R. This package allows the parameter estimation or calibration of complex models, including stochastic ones. It is a generic tool that can be used for fitting any type of models, especially those with non-differentiable objective functions. It supports multiple phases and constrained optimization. It implements maximum likelihood estimation methods and automated construction of the objective function from simulated model outputs. See <http://roliveros-ramos.github.io/calibrar> for more details.
| Version: | 0.2.0 |
| Depends: | R (≥ 2.15) |
| Imports: | cmaes, optimx, foreach, parallel, stats, utils |
| Suggests: | deSolve |
| Published: | 2016-02-17 |
| Author: | Ricardo Oliveros-Ramos [aut, cre] |
| Maintainer: | Ricardo Oliveros-Ramos <ricardo.oliveros at gmail.com> |
| BugReports: | https://github.com/roliveros-ramos/calibrar/issues |
| License: | GPL-2 |
| URL: | http://roliveros-ramos.github.io/calibrar |
| NeedsCompilation: | no |
| Citation: | calibrar citation info |
| Materials: | README |
| CRAN checks: | calibrar results |
| Reference manual: | calibrar.pdf |
| Package source: | calibrar_0.2.0.tar.gz |
| Windows binaries: | r-devel: calibrar_0.2.0.zip, r-release: calibrar_0.2.0.zip, r-oldrel: calibrar_0.2.0.zip |
| macOS binaries: | r-release: calibrar_0.2.0.tgz, r-oldrel: calibrar_0.2.0.tgz |
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