R: Automated Parameter Estimation for Complex Models

# Automated Parameter Estimation for Complex Models

## Documentation for package ‘calibrar’ version 0.9.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## 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.