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calibrar

Automated parameter estimation for complex (ecological) models
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.

Installation

Get the released version from CRAN:

install.packages("calibrar")

Or the development version from github:

# install.packages("devtools")
devtools::install_github("roliveros-ramos/calibrar")

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Version

Install

install.packages('calibrar')

Monthly Downloads

237

Version

0.2.0

License

GPL-2

Maintainer

Ricardo OliverosRamos

Last Published

February 17th, 2016

Functions in calibrar (0.2.0)

calibrar-package

Automated Calibration for Complex (Ecological) Models
calibrarDemo

Demos for the calibrar package
getCalibrationInfo

Get information to run a calibration using the calibrar package.
SphereN

Sphere function with random noise
createObjectiveFunction

Create an objective function to be used with optimization routines
optimES

Optimization using Evolutionary Strategies
calibrate

Sequential parameter estimation for the calibration of models
getObservedData

Get observed data for the calibration of a model