
Package index
Main functions
Functions for general purpose optimization, with support for parallel computation of derivatives.
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optim2() - Unified optimisation interface with structured parameters and parallel numerical gradients
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optimh() - General-purpose optimisation with heuristic and derivative-free methods
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calibrate() - Sequential parameter estimation for the calibration of complex models
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ahres() - Adaptive Hierarchical Recombination Evolutionary Strategy
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gradient() - Numerical gradient approximation
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calibrar-packagecalibrar - Automated Calibration for Complex Models
Setting up a calibration
Functions to easily setup a new calibration for a complex model, from an R function running the model.
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calibration_data() - Read observed data defined in a calibration setup table
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calibration_objFn() - Create a calibration objective function from a model, setup table, and data
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calibration_setup() - Read and validate a calibration setup table
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objFn()fitness() - Objective function between observed and simulated data
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calibrar_demo()print(<calibrar.demo>) - Create small demonstration calibration projects
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gaussian_kernel() - Discretise a bivariate Gaussian kernel on a grid
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spline_par()plot(<spline.par>) - Interpolate time-varying parameters with a spline
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sphereN() - Noisy sphere test function
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.get_command_argument() - Extract a named command-line argument
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.read_configuration() - Read a simple key-value configuration file
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getObservedData()getCalibrationInfo()createObjectiveFunction() - Defunct functions in package calibrar.
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print(<calibrar.results>)coef(<calibrar.results>)predict(<calibrar.results>)plot(<calibrar.results>)summary(<calibrar.results>)print(<summary.calibrar.results>)dim(<calibrar.results>) - Calibration result objects
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print(<ahres.results>)coef(<ahres.results>)plot(<ahres.results>)summary(<ahres.results>)print(<summary.ahres.results>) - Evolutionary-strategy result objects