ncvreg

R package ncvreg: Regularization paths for SCAD- and MCP-penalized regression models. Efficient algorithms for fitting regularization paths for linear or logistic regression models penalized by MCP or SCAD, with optional additional L2 penalty (”Mnet”).

Keywords for this software

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References in zbMATH (referenced in 5 articles )

Showing results 1 to 5 of 5.
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  1. Ge, Jason; Li, Xingguo; Jiang, Haoming; Liu, Han; Zhang, Tong; Wang, Mengdi; Zhao, Tuo: \textttpicasso: a sparse learning library for high dimensional data analysis in \textttRand \textttPython (2019)
  2. Diego Saldana; Yang Feng: SIS: An R Package for Sure Independence Screening in Ultrahigh-Dimensional Statistical Models (2018) not zbMATH
  3. Adriano Zambom and Michael Akritas: NonpModelCheck: An R Package for Nonparametric Lack-of-Fit Testing and Variable Selection (2017) not zbMATH
  4. Daniel F. Schmidt, Enes Makalic: High-Dimensional Bayesian Regularised Regression with the BayesReg Package (2016) arXiv
  5. Wand, M. P.; Ormerod, J. T.: Penalized wavelets: embedding wavelets into semiparametric regression (2011)