
gwrr
 Referenced in 2 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...

Oger
 Referenced in 2 articles
[sw09696]
 reservoir implementations (both sigmoid and spiking), ridge regression, conditional restricted Boltzmann machine (CRBM) and others...

genridge
 Referenced in 1 article
[sw27786]
 genridge: Generalized Ridge Trace Plots for Ridge Regression. The genridge package introduces generalizations ... univariate ridge trace plot used in ridge regression and related methods. These graphical methods show...

ragt2ridges
 Referenced in 2 articles
[sw19497]
 Ridge Estimation of Vector AutoRegressive (VAR) Processes. Ridge maximum likelihood estimation of vector auto...

SINCERITIES
 Referenced in 1 article
[sw29321]
 regularised linear regression problem with ridge regression penalty function. The MATLAB version of SINCERITIES...

hmglib
 Referenced in 1 article
[sw32904]
 from discretized integral equations or kernel ridge regression, leading to loglinear time complexity...

ML4Chem
 Referenced in 1 article
[sw32468]
 demonstrations utilizing neural networks and kernel ridge regression algorithms...

RuleFit
 Referenced in 1 article
[sw20934]
 procedures from the lasso to ridge regression, thereby allowing the user to decrease the sparsity...

BayesReg
 Referenced in 3 articles
[sw31836]
 Local Shrinkage Priors. Fits linear or logistic regression model using Bayesian globallocal shrinkage prior ... /acprof:oso/9780199694587.003.0017>. Handles ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace or Student...

RXshrink
 Referenced in 2 articles
[sw27789]
 Maximum Likelihood Shrinkage via Generalized Ridge or Least Angle Regression. Identify and display TRACEs...

stR
 Referenced in 0 articles
[sw16590]
 some ways, STR is similar to Ridge Regression and Robust STR can be related...

ensr
 Referenced in 1 article
[sw29256]
 package ensr: Elastic Net SearcheR. Elastic net regression models are controlled by two parameters, lambda ... location on the spectrum between ridge and lasso regression. glmnet provides tools for selecting lambda...

pBRIT
 Referenced in 0 articles
[sw34143]
 priortization of candidate genes using Bayesian Ridge Regression and Information Theoretic Model...

ltsbase
 Referenced in 2 articles
[sw27788]
 estimate Ridge and Liu estimators based on LTS method in multiple linear regression analysis...

HDCI
 Referenced in 2 articles
[sw32617]
 intervals. Choices for regression models are Lasso, Lasso+OLS, Lasso partial ridge, Lasso+OLS partial...

RKHSMetaMod
 Referenced in 1 article
[sw28872]
 Gaussian regression model, RKHSMetaMod estimates a meta model by solving the Ridge Group Sparse Optimization ... Hoeffding decomposition of the unkwown regression function. This package provides an interface from R statistical...

SISIR
 Referenced in 1 article
[sw31333]
 package SISIR: Sparse Interval Sliced Inverse Regression. An interval fusion procedure for functional data ... semiparametric framework of SIR. Standard ridge and sparse SIR are also included in the package...

MultiwayRegression
 Referenced in 1 article
[sw18394]
 Tensorontensor regression. We propose a framework for the linear prediction of a multi ... leastsquares estimation, which allows for a ridge (L_2) penalty on the coefficients...

LAPACK
 Referenced in 1626 articles
[sw00503]
 LAPACK is written in Fortran 90 and provides...

Maple
 Referenced in 5040 articles
[sw00545]
 The result of over 30 years of cutting...