
mgcv
 Referenced in 106 articles
[sw07751]
 Routines for GAMs and other generalized ridge regression with multiple smoothing parameter selection...

foba
 Referenced in 30 articles
[sw35840]
 foba sparse learning algorithms for ridge regression, described in the paper ”Adaptive ForwardBackward Greedy...

RegEM
 Referenced in 20 articles
[sw04943]
 replaces the conditional maximum likelihood estimation of regression parameters in the conventional EM algorithm ... squares (with fixed truncation parameter) and ridge regression with generalized crossvalidation as regularized estimation ... regularized estimation of regression parameters (e.g., ridge regression and generalized crossvalidation) can be exchanged...

penalized
 Referenced in 28 articles
[sw06071]
 leaveoneout crossvalidation for ridge regression. In model building and model evaluation, cross ... proportional hazards model with a ridge penalty term. Our approximation method is based...

Monomvn
 Referenced in 14 articles
[sw08173]
 Through the use of parsimonious/shrinkage regressions (plsr, pcr, lasso, ridge, etc.), where standard regressions fail ... Horseshoe (from Carvalho, Polson, & Scott), and ridge regression with model selection via Reversible Jump...

blasso
 Referenced in 13 articles
[sw06769]
 regression that provides a bridge between ridge regression and the lasso. The estimate that...

GCVPACK
 Referenced in 13 articles
[sw31699]
 data analysis and data smoothing including ridge regression, thin plate smoothing splines, deconvolution, smoothing...

DiSCO
 Referenced in 12 articles
[sw28439]
 discuss the results for distributed ridge regression, logistic regression and binary classification with a smoothed...

GeneMANIA
 Referenced in 12 articles
[sw30022]
 fast heuristic algorithm, derived from ridge regression, to integrate multiple functional association networks and predict...

lmridge
 Referenced in 5 articles
[sw27784]
 package lmridge: Linear Ridge Regression with Ridge Penalty and Ridge Statistics. Linear ridge regression coefficient...

WONDER
 Referenced in 4 articles
[sw35432]
 WONDER: weighted oneshot distributed ridge regression in high dimensions. In many areas, practitioners need ... this area: How to do ridge regression in a distributed computing environment? Ridge regression ... methods that construct weighted combinations of ridge regression estimators computed on each machine. By analyzing ... Weighted ONeshot DistributEd Ridge regression algorithm (WONDER). We test WONDER in simulation studies...

parcor
 Referenced in 4 articles
[sw14647]
 methods: lasso, adaptive lasso, PLS, and Ridge Regression. In addition, the package provides model selection ... lasso, adaptive lasso and Ridge regression based on crossvalidation...

rrBLUP
 Referenced in 4 articles
[sw14006]
 rrBLUP: Ridge Regression and Other Kernels for Genomic Selection. Software for genomic prediction with ... estimate marker effects by ridge regression; alternatively, BLUPs can be calculated based on an additive...

ridge
 Referenced in 3 articles
[sw14859]
 package ridge: Ridge Regression with automatic selection of the penalty parameter. This package contains functions ... fitting linear and logistic ridge regression models, including functions for fitting linear and logistic ridge...

lpridge
 Referenced in 4 articles
[sw07108]
 package lpridge: Local Polynomial (Ridge) Regression. Local Polynomial Regression with Ridging...

R3PLoc
 Referenced in 2 articles
[sw22444]
 compact multilabel predictor using ridge regression and random projection for protein subcellular localization. Locating ... feature dimensions of an ensemble ridge regression (RR) classifier. Two new compact databases are created...

gwrr
 Referenced in 3 articles
[sw21074]
 models with diagnostic tools. Fits geographically weighted regression (GWR) models and has tools to diagnose ... models. Also fits geographically weighted ridge regression (GWRR) and geographically weighted lasso (GWL) models...

plsdof
 Referenced in 3 articles
[sw12201]
 mean and covariance of the PLS regression coefficients are available. They allow the construction ... procedures. Further, crossvalidation procedures for Ridge Regression and Principal Components Regression are available...

BhGLM
 Referenced in 3 articles
[sw10342]
 special cases, e.g., classical GLMs, ridge regression, Bayesian lasso, and various adaptive lasso. These methods...

Expectreg
 Referenced in 15 articles
[sw14660]
 quantile regression of models with nonlinear effects e.g. spatial, random, ridge using least asymmetric weighed...