Black Box Optimization and Exploration of Parameter Space


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Documentation for package ‘blackbox’ version 1.1.32

Help Pages

blackbox-package Black box optimization and response surface exploration
bboptim Black-box function optimization
blackbox Black box optimization and response surface exploration
blackbox.getOption blackbox options settings
blackbox.options blackbox options settings
buildFONKgpointls Prepare data for smoothing
buildPointls Read a data file
calc1DCIs Compute 1D confidence intervals
calc1Dprofiles One and two-dimensional profiles, and surface plots
calc2D3Dplots One and two-dimensional profiles, and surface plots
calcGCV Estimate smoothing parameters by generalized cross-validation (GCV)
calcLRTs Compute (profile) likelihood ratio tests
calcPredictorOK Generate smoothing predictor given smoothing parameters
calcProfileLR One and two-dimensional profiles, and surface plots
init_grid Define starting points in parameter space.
islogscale Test for parameter log scale
maximizeOK Find maximum of predicted response surface
parallel blackbox options settings
prepareData Prepare data and controls for smoothing
preprocessbboptions Set controls for most functiosn in the package
rbb Black-box function optimization
sampleByResp Sample predictor points according to predicted response
saveOldFile Save a copy of an existing file.
writeFinalInfo Pretty output, and management of output files