• 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 Auto-Regressive (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 log-linear 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 global-local 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]
  • Tensor-on-tensor regression. We propose a framework for the linear prediction of a multi ... least-squares 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...