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GPCsign  

Gaussian Process Classification as Described in Bachoc et al. (2020)
View on CRAN: Click here


Download and install GPCsign package within the R console
Install from CRAN:
install.packages("GPCsign")

Install from Github:
library("remotes")
install_github("cran/GPCsign")

Install by package version:
library("remotes")
install_version("GPCsign", "0.1.1")



Attach the package and use:
library("GPCsign")
Maintained by
Morgane Menz
[Scholar Profile | Author Map]
First Published: 2024-09-23
Latest Update: 2024-09-23
Description:
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().
How to cite:
Morgane Menz (2024). GPCsign: Gaussian Process Classification as Described in Bachoc et al. (2020). R package version 0.1.1, https://cran.r-project.org/web/packages/GPCsign. Accessed 04 Apr. 2025.
Previous versions and publish date:
0.1.0 (2024-09-23 15:02)
Other packages that cited GPCsign R package
View GPCsign citation profile
Other R packages that GPCsign depends, imports, suggests or enhances
Complete documentation for GPCsign
Functions, R codes and Examples using the GPCsign R package
Full GPCsign package functions and examples
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