Performs prediction of a response function from simulated response values, allowing black-box optimization of functions estimated with some error. Includes a simple user interface for such applications, as well as more specialized functions designed to be called by the Migraine software (see URL). The latter functions are used for prediction of likelihood surfaces and implied likelihood ratio confidence intervals, and for exploration of predictor space of the surface. Prediction of the response is based on ordinary kriging (with residual error) of the input. Estimation of smoothing parameters is performed by generalized cross-validation.

Documentation

Manual: blackbox.pdf
Vignette: None available.

Maintainer: François Rousset <francois.rousset at umontpellier.fr>

Author(s): François Rousset*, Raphaël Leblois*

Install package and any missing dependencies by running this line in your R console:

install.packages("blackbox")

Depends R (>= 3.1.0)
Imports numDeriv, rcdd, geometry(>=0.3-6), proxy, spaMM(>=1.7.2), lattice, Rcpp, nloptr, MASS
Suggests testthat, ff, minqa, lbfgsb3, igraph
Enhances
Linking to Rcpp, RcppEigen
Reverse
depends
Reverse
imports
Infusion
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package blackbox
Materials
URL http://kimura.univ-montp2.fr/~rousset/Migraine.htm
Task Views
Version 1.0.18
Published 2017-02-03
License CeCILL-2
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks blackbox check results
Package source blackbox_1.0.18.tar.gz