Other packages > Find by keyword >

KRLS  

Kernel-Based Regularized Least Squares
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("KRLS", "1.0-0")



Attach the package and use:
library("KRLS")
Maintained by
Jens Hainmueller
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-09-30
Latest Update: 2017-07-10
Description:
Package implements Kernel-based Regularized Least Squares (KRLS), a machine learning method to fit multidimensional functions y=f(x) for regression and classification problems without relying on linearity or additivity assumptions. KRLS finds the best fitting function by minimizing the squared loss of a Tikhonov regularization problem, using Gaussian kernels as radial basis functions. For further details see Hainmueller and Hazlett (2014).
How to cite:
Jens Hainmueller (2011). KRLS: Kernel-Based Regularized Least Squares. R package version 1.0-0, https://cran.r-project.org/web/packages/KRLS. Accessed 15 Jul. 2026.
Previous versions and publish date:
0.1 (2011-09-30 07:51), 0.2 (2011-12-27 11:05), 0.3-1 (2013-08-07 17:56), 0.3-2 (2013-08-10 00:53), 0.3-5 (2013-12-20 07:20), 0.3-7 (2014-05-21 21:21), 1.0-0 (2017-07-10 15:56), 1.1-0 (2026-04-30 07:10), 1.7-0 (2026-06-05 09:30), (2026-07-09 08:07)
Other packages that cited KRLS R package
View KRLS citation profile
Other R packages that KRLS depends, imports, suggests or enhances
Complete documentation for KRLS
Functions, R codes and Examples using the KRLS R package
Some associated functions: fdskrls . gausskernel . krls . lambdasearch . looloss . plot.krls . predict.krls . solveforc . summary.krls . 
Some associated R codes: gausskernel.R . krls.R . looloss.R . multdiag.R . plot.krls.R . predict.krls.R . solveforc.R . summary.krls.R .  Full KRLS package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  
SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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