Automated Parameter Estimation for Complex Models

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Documentation for package ‘calibrar’ version 0.9.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

calibrar-package	Automated Calibration for Complex Models
.get_command_argument	Get an specific argument from the command line
.read_configuration	Read a configuration file.
ahres	Adaptative Hierarchical Recombination Evolutionary Strategy (AHR-ES) for derivative-free and black-box optimization
calibrar	Automated Calibration for Complex Models
calibrar_demo	Demos for the calibrar package
calibrate	Sequential parameter estimation for the calibration of complex models
calibrate.default	Sequential parameter estimation for the calibration of complex models
calibration_data	Get observed data for the calibration of a model
calibration_objFn	Create an objective function to be used with optimization routines
calibration_setup	Get information to run a calibration using the 'calibrar' package.
fitness	Calcuted error measure between observed and simulated data
gaussian_kernel	Calculate a discretization of the 2D Gaussian Kernel
gradient	Numerical computation of the gradient, with parallel capabilities
objFn	Calcuted error measure between observed and simulated data
optim2	General-purpose optimization with parallel numerical gradient computation
optimh	General-purpose optimization using heuristic algorithms
sphereN	Sphere function with random noise
spline_par	Predict time-varying parameters using splines.