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BKPC  

Bayesian Kernel Projection Classifier
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BKPC", "1.0.2")



Attach the package and use:
library("BKPC")
Maintained by
Katarina Domijan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-13
Latest Update: 2026-06-22
Description:
Bayesian kernel projection classifier (Domijan and Wilson,2011) <doi:10.1007/s11222-009-9161-8> is a nonlinear multicategory classifier which performs the classification of the projections of the data to the principal axes of the feature space. A Gibbs sampler is implemented to find the posterior distributions of the parameters.
How to cite:
Katarina Domijan (2018). BKPC: Bayesian Kernel Projection Classifier. R package version 1.0.2, https://cran.r-project.org/web/packages/BKPC. Accessed 18 Sep. 2026.
Previous versions and publish date:
1.0.1 (2018-03-13 12:39), 1.0 (2016-02-27 14:35), (2026-07-09 07:58)
Other packages that cited BKPC R package
View BKPC citation profile
Other R packages that BKPC depends, imports, suggests or enhances
Complete documentation for BKPC
Functions, R codes and Examples using the BKPC R package
Full BKPC package functions and examples
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