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blackbox: Black Box Optimization and Exploration of Parameter Space

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 (Rousset and Leblois, 2012 <doi:10.1093/molbev/MSR262>; Leblois et al., 2014 <doi:10.1093/molbev/msu212>; and 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.

Version: 1.1.46
Depends: R (≥ 3.1.0)
Imports: numDeriv, rcdd, geometry (≥ 0.3-6), proxy, spaMM (≥ 3.1.0), lattice, Rcpp (≥ 0.12.10), nloptr, MASS, pbapply, foreach, matrixStats
LinkingTo: Rcpp, RcppEigen
Suggests: testthat, minqa, lbfgsb3c, igraph
Published: 2023-12-08
DOI: 10.32614/CRAN.package.blackbox
Author: François Rousset ORCID iD [aut, cre, cph], Raphaël Leblois ORCID iD [ctb]
Maintainer: François Rousset <francois.rousset at umontpellier.fr>
License: CeCILL-2
URL: https://kimura.univ-montp2.fr/~rousset/Migraine.htm
NeedsCompilation: yes
Citation: blackbox citation info
Materials: NEWS
CRAN checks: blackbox results

Documentation:

Reference manual: blackbox.pdf

Downloads:

Package source: blackbox_1.1.46.tar.gz
Windows binaries: r-devel: blackbox_1.1.46.zip, r-release: blackbox_1.1.46.zip, r-oldrel: blackbox_1.1.46.zip
macOS binaries: r-release (arm64): blackbox_1.1.46.tgz, r-oldrel (arm64): blackbox_1.1.46.tgz, r-release (x86_64): blackbox_1.1.46.tgz, r-oldrel (x86_64): blackbox_1.1.46.tgz
Old sources: blackbox archive

Reverse dependencies:

Reverse imports: Infusion
Reverse suggests: spaMM

Linking:

Please use the canonical form https://CRAN.R-project.org/package=blackbox to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.