blackbox: Black Box Optimization and Exploration of Parameter Space
Version 1.0.18

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.

Getting started

Package details

AuthorFrançois Rousset [aut, cre, cph], Raphaël Leblois [ctb]
Date of publication2017-02-03 00:21:04
MaintainerFrançois Rousset <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the blackbox package in your browser

Any scripts or data that you put into this service are public.

blackbox documentation built on May 29, 2017, 9:08 a.m.