• covTest

  • Referenced in 67 articles [sw19129]
  • significance testing in adaptive linear modelling. Can be used with LARS (lasso) for linear models...
  • spinyReg

  • Referenced in 4 articles [sw14821]
  • dimensional variable selection algorithms (such as lasso, adaptive lasso, stability selection or spike-and-slab...
  • parcor

  • Referenced in 2 articles [sw14647]
  • based on different regularized regression methods: lasso, adaptive lasso, PLS, and Ridge Regression. In addition ... package provides model selection for lasso, adaptive lasso and Ridge regression based on cross-validation...
  • hal9001

  • Referenced in 2 articles [sw35165]
  • package hal9001: The Scalable Highly Adaptive Lasso. A scalable implementation of the highly adaptive lasso ... glmnet’ package by default. The highly adaptive lasso was first formulated and described...
  • BhGLM

  • Referenced in 3 articles [sw10342]
  • ridge regression, Bayesian lasso, and various adaptive lasso. These methods can be used not only...
  • bootpenal

  • Referenced in 1 article [sw31365]
  • block random lasso and block random adaptive lasso for data with large ... split lasso and split adaptive lasso for data with large n. It fits split block ... lasso and s-plit block random adaptive lasso for data with large p and n.It...
  • polywog

  • Referenced in 2 articles [sw07109]
  • regression, with model selection via the adaptive LASSO or SCAD to prevent overfitting...
  • cqrReg

  • Referenced in 2 articles [sw21332]
  • regression, both with and without an adaptive lasso penalty for variable selection. In this paper...
  • SALES

  • Referenced in 1 article [sw31659]
  • package SALES: Elastic Net and (Adaptive) Lasso Penalized Sparse Asymmetric Least Squares (SALES) and Coupled ... squares, including the elastic net and (adaptive) Lasso penalized SALES and COSALES regressions...
  • haldensify

  • Referenced in 1 article [sw35416]
  • package haldensify: Highly Adaptive Lasso Conditional Density Estimation. Conditional density estimation is a longstanding ... implemented based on the highly adaptive lasso, a nonparametric regression function for efficient estimation with...
  • flare

  • Referenced in 17 articles [sw12406]
  • also provide the extension of these Lasso variants to sparse Gaussian graphical model estimation including ... TIGER and CLIME using either L1 or adaptive penalty. Missing values can be tolerated...
  • coxnet

  • Referenced in 1 article [sw13712]
  • their adaptive forms, such as adaptive lasso and net adjusting for signs of linked coefficients...
  • aispu

  • Referenced in 1 article [sw36076]
  • test based on the truncated Lasso penalty and an adaptive testing idea, which can maintain ... test based on the truncated Lasso penalty and an adaptive testing idea. Some related methods...
  • DLASSO

  • Referenced in 1 article [sw21307]
  • DLASSO: Implementation of Adaptive or Non-Adaptive Differentiable Lasso and SCAD Penalties in Linear Models...
  • naivereg

  • Referenced in 1 article [sw36604]
  • commonly available nowadays. This package uses adaptive group lasso and B-spline methods to select...
  • LINselect

  • Referenced in 0 articles [sw19706]
  • different methods as lasso, elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be applied...
  • msgps

  • Referenced in 0 articles [sw16525]
  • elastic net, generalized elastic net and adaptive lasso based on the generalized path seeking algorithm...
  • csg

  • Referenced in 1 article [sw36363]
  • conjugate subgradient algorithm with adaptive preconditioning for LASSO minimization- This paper describes a new efficient...
  • BLOOMP

  • Referenced in 21 articles [sw06454]
  • dynamic range near unity BP-BLOT and Lasso-BLOT with the optimized regularization parameter have ... spectral iterative hard thresholding and the frame-adapted BP demonstrate the superiority...
  • cvplogistic

  • Referenced in 4 articles [sw29394]
  • adaptive rescaling algorithms for computing the solutions. The package also provides a Lasso-concave hybrid...