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 25 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

airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
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  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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