{ "_id": "6a228ea3cd65a98ecbd553b3", "Package": "blackbox", "Title": "Black Box Optimization and Exploration of Parameter Space", "Encoding": "UTF-8", "Version": "1.1.54", "Date": "2026-03-01", "Authors@R": "c(person(\"François\", \"Rousset\", role = c(\"aut\", \"cre\", \"cph\"),\nemail = \"francois.rousset@umontpellier.fr\",\ncomment = c(ORCID = \"0000-0003-4670-0371\")),\nperson(\"Raphaël\",\"Leblois\", role=\"ctb\",\ncomment = c(ORCID = \"0000-0002-3051-4497\")))", "Maintainer": "François Rousset ", "Description": "Performs prediction of a response function from simulated\nresponse values, allowing black-box optimization of functions\nestimated with some error. Includes a simple user interface for\nsuch applications, as well as more specialized functions\ndesigned to be called by the Migraine software (Rousset and\nLeblois, 2012 ; Leblois et al., 2014\n; and see URL). The latter functions\nare used for prediction of likelihood surfaces and implied\nlikelihood ratio confidence intervals, and for exploration of\npredictor space of the surface. Prediction of the response is\nbased on ordinary Kriging (with residual error) of the input.\nEstimation of smoothing parameters is performed by generalized\ncross-validation.", "License": "CeCILL-2", "ByteCompile": "true", "URL": "https://gitlab.mbb.univ-montp2.fr/francois/blackbox;\nhttps://gitlab.mbb.univ-montp2.fr/francois/migraine", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-05 08:36:33 UTC", "User": "root" }, "Author": "François Rousset [aut, cre, cph] (ORCID:\n), Raphaël Leblois [ctb]\n(ORCID: )", "Config/pak/sysreqs": "cmake libgmp3-dev make libgsl0-dev", "Repository": "https://f-rousset.r-universe.dev", "Date/Publication": "2026-03-01 06:10:58 UTC", "RemoteUrl": "https://github.com/cran/blackbox", "RemoteRef": "HEAD", "RemoteSha": "63954a44bef2070e4367c5ff12ea89f68e9d4fc3", "MD5sum": "0730a9c4ad0f7ce0329fa016a7dbc4bd", "_user": "f-rousset", "_type": "src", "_file": "blackbox_1.1.54.tar.gz", "_fileid": 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