Other packages > Find by keyword >

FastKRR  

Kernel Ridge Regression using 'RcppArmadillo'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FastKRR", "0.1.2")



Attach the package and use:
library("FastKRR")
Maintained by
Kwan-Young Bak
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-08
Latest Update: 2025-10-08
Description:
Provides core computational operations in C++ via 'RcppArmadillo', enabling faster performance than pure R, improved numerical stability, and parallel execution with OpenMP where available. On systems without OpenMP support, the package automatically falls back to single-threaded execution with no user configuration required. For efficient model selection, it integrates with 'CVST' to provide sequential-testing cross-validation that identifies competitive hyperparameters without exhaustive grid search. The package offers a unified interface for exact kernel ridge regression and three scalable approximations—Nyström, Pivoted Cholesky, and Random Fourier Features—allowing analyses with substantially larger sample sizes than are feasible with exact KRR. It also integrates with the 'tidymodels' ecosystem via the 'parsnip' model specification 'krr_reg', and the S3 method tunable.krr_reg(). To understand the theoretical background, one can refer to Wainwright (2019) <doi:10.1017/9781108627771>.
How to cite:
Kwan-Young Bak (2025). FastKRR: Kernel Ridge Regression using 'RcppArmadillo'. R package version 0.1.2, https://cran.r-project.org/web/packages/FastKRR. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.0 (2025-09-22 13:20), 0.1.1 (2025-10-08 07:20)
Other packages that cited FastKRR R package
View FastKRR citation profile
Other R packages that FastKRR depends, imports, suggests or enhances
Complete documentation for FastKRR
Functions, R codes and Examples using the FastKRR R package
Full FastKRR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
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  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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