Other packages > Find by keyword >

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]
All associated links for this package
First Published: 2024-09-23
Latest Update: 2025-02-27
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 24 Oct. 2026.
Previous versions and publish date:
0.1.0 (2024-09-23 15:02), (2026-07-09 08:05)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  
visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA