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

Linking:

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