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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.

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.
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