• penalizedSVM

  • Referenced in 8 articles [sw15838]
  • penalty functions. The smoothly clipped absolute deviation (SCAD), ’L1-norm’, ’Elastic Net’ (’L1-norm ... norm’) and ’Elastic SCAD’ (SCAD and ’L2-norm’) penalties are availible. The tuning parameters...
  • ncvreg

  • Referenced in 5 articles [sw08179]
  • package ncvreg: Regularization paths for SCAD- and MCP-penalized regression models. Efficient algorithms for fitting ... logistic regression models penalized by MCP or SCAD, with optional additional L2 penalty (”Mnet...
  • grpreg

  • Referenced in 6 articles [sw15799]
  • group lasso, group MCP, and group SCAD as well as bi-level selection methods such...
  • rqPen

  • Referenced in 4 articles [sw19266]
  • Regression. Performs penalized quantile regression for LASSO, SCAD and MCP functions including group penalties. Provides...
  • picasso

  • Referenced in 4 articles [sw20406]
  • property of non-convex penalty such as SCAD and MCP which has significantly less estimation...
  • cvplogistic

  • Referenced in 4 articles [sw29394]
  • concave penalized logistic regression model. The SCAD and MCP (default) are two concave penalties considered...
  • mpath

  • Referenced in 2 articles [sw13914]
  • selection operator (LASSO), smoothly clipped absolute deviation (SCAD) and minimax concave penalty (MCP), and each...
  • glamlasso

  • Referenced in 2 articles [sw16517]
  • linear array models. Currently either Lasso or SCAD penalized estimation is possible for the followings...
  • crrp

  • Referenced in 2 articles [sw28755]
  • model. Penalties include LASSO, SCAD, MCP, and their group versions...
  • DLASSO

  • Referenced in 1 article [sw21307]
  • Adaptive or Non-Adaptive Differentiable Lasso and SCAD Penalties in Linear Models. An implementation ... differentiable lasso (dlasso) and SCAD (dSCAD) using iterative ridge algorithm. This package allows selecting...
  • polywog

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

  • Referenced in 1 article [sw28073]
  • array-tensor structured models. Currently Lasso and SCAD penalized estimation is implemented...
  • sparsevar

  • Referenced in 1 article [sw31454]
  • estimation using penalties like ENET (Elastic Net), SCAD (Smoothly Clipped Absolute Deviation) and MCP (Minimax...
  • msaenet

  • Referenced in 0 articles [sw18486]
  • MSAMNet) and multi-step adaptive SCAD-Net (MSASNet) methods...
  • R

  • Referenced in 7694 articles [sw00771]
  • R is a language and environment for statistical...
  • GLIM

  • Referenced in 178 articles [sw01126]
  • GLIM - a system for interactive fitting of generalized...
  • LASSO

  • Referenced in 30 articles [sw02850]
  • A gradient descent algorithm for LASSO LASSO is...
  • S-PLUS

  • Referenced in 568 articles [sw02892]
  • S-PLUS is a powerful environment for statistical...
  • CRAN

  • Referenced in 423 articles [sw04351]
  • R is ‘GNU S’, a freely available language...
  • quantreg

  • Referenced in 120 articles [sw04356]
  • R package quantreg: Quantile Regression. Estimation and inference...