calibrar: Automated Parameter Estimation for Complex (Ecological) Models

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

Documentation:

Reference manual:

calibrar.pdf

Downloads:

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 (arm64): calibrar_0.2.0.tgz, r-oldrel (arm64): calibrar_0.2.0.tgz, r-release (x86_64): calibrar_0.2.0.tgz, r-oldrel (x86_64): calibrar_0.2.0.tgz

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