GPCsign: Gaussian Process Classification as Described in Bachoc et al. (2020)

Parameter estimation and prediction of Gaussian Process Classifier models as described in Bachoc et al. (2020) <doi:10.1007/S10898-020-00920-0>. Important functions : gpcm(), predict.gpcm(), update.gpcm().

Version:	0.1.0
Imports:	DiceKriging, tmvtnorm, TruncatedNormal (≥ 2.3), future.apply, future, methods, stats
Suggests:	DiceDesign, testthat
Published:	2024-09-23
DOI:	10.32614/CRAN.package.GPCsign
Author:	Morgane Menz [aut, cre], Céline Helbert [aut], Victor Picheny [aut], François Bachoc [aut], Naoual Serraji [ctb]
Maintainer:	Morgane Menz <morgane.menz at ifpen.fr>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	GPCsign results

Documentation:

Reference manual:

GPCsign.pdf

Downloads:

Package source:	GPCsign_0.1.0.tar.gz
Windows binaries:	r-devel: GPCsign_0.1.0.zip, r-release: GPCsign_0.1.0.zip, r-oldrel: GPCsign_0.1.0.zip
macOS binaries:	r-release (arm64): GPCsign_0.1.0.tgz, r-oldrel (arm64): GPCsign_0.1.0.tgz, r-release (x86_64): GPCsign_0.1.0.tgz, r-oldrel (x86_64): GPCsign_0.1.0.tgz

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