• covTest

  • Referenced in 45 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...
  • BhGLM

  • Referenced in 2 articles [sw10342]
  • ridge regression, Bayesian lasso, and various adaptive lasso. These methods can be used not only...
  • parcor

  • Referenced in 1 article [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...
  • coxnet

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

  • Referenced in 1 article [sw07109]
  • regression, with model selection via the adaptive LASSO or SCAD to prevent overfitting...
  • cqrReg

  • Referenced in 1 article [sw21332]
  • regression, both with and without an adaptive lasso penalty for variable selection. In this paper...
  • flare

  • Referenced in 11 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...
  • DLASSO

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

  • Referenced in 17 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...
  • FindIt

  • Referenced in 2 articles [sw08164]
  • method adapts the Support Vector Machine classifier by placing separate LASSO constraints over...
  • cvplogistic

  • Referenced in 3 articles [sw29394]
  • adaptive rescaling algorithms for computing the solutions. The package also provides a Lasso-concave hybrid...
  • SelvarMix

  • Referenced in 2 articles [sw24498]
  • variables are arranged in order with a lasso-like procedure. Second, the method of Maugis ... /j.csda.2009.04.013>, is adapted to define the role of variables...
  • blasso

  • Referenced in 10 articles [sw06769]
  • bridge between ridge regression and the lasso. The estimate that it produces can be viewed ... elastic net regression models that allows for adaptive, data-based shrinkage of the regression coefficients...
  • ConvexLAR

  • Referenced in 2 articles [sw16543]
  • naturally extends to group selection and data adaptive variable selection. After simple modification, it also ... such as a convex loss function with lasso or group lasso penalty. Variable selection...
  • CSDP

  • Referenced in 179 articles [sw00169]
  • CSDP, A C Library for Semidefinite Programming. This...
  • LSQR

  • Referenced in 304 articles [sw00530]
  • Algorithm 583: LSQR: Sparse Linear Equations and Least...
  • MapReduce

  • Referenced in 206 articles [sw00546]
  • MapReduce is a new parallel programming model initially...