R: Automatic Calibration by Evolutionary Multi Objective Algorithm

# Automatic Calibration by Evolutionary Multi Objective Algorithm

## Documentation for package ‘caRamel’ version 1.5

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

## Help Pages

caRamel-package | caRamel optimizer
boxes | Box numbering for each points individual of the population
caRamel | MAIN FUNCTION: multi-objective optimizer
Cextrap | Extrapolation along orthogonal directions to the Pareto front in the space of the objectives
Cinterp | Interpolation in simplexes of the objective space
Crecombination | Recombination of the sets of parameters
Cusecovar | New parameter vectors generation respecting a covariance structure
decrease_pop | Decreasing of the population of parameters sets
Dimprove | Determination of directions for improvement
dominate | Successive Pareto fronts of a population
dominated | Rows domination of a matrix by a vector
downsize | Downsizing of a population to only one individual per box up to a given accuracy
matvcov | Calculation of the variances-covariances matrix on the reference population
newXval | Generation of a new population of parameter sets following the five rules of caRamel
pareto | Indicates which rows are Pareto
plot_caramel | Plotting of caRamel results
plot_pareto | Plotting of a population of objectives and Pareto front
plot_population | Plotting of a population of objectives
rselect | Selection of n points
val2rank | Converting the values of a vector into their rank
vol_splx | Volume of a simplex