• OSCAR

  • Referenced in 47 articles [sw03026]
  • behavior. The technique is based on penalized least squares with a geometrically intuitive penalty function...
  • flare

  • Referenced in 18 articles [sw12406]
  • optimization problem into a sequential L1 penalized least square minimization problem, which can be efficiently...
  • gglasso

  • Referenced in 17 articles [sw14361]
  • solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared...
  • ppls

  • Referenced in 5 articles [sw24174]
  • package ppls: Penalized Partial Least Squares. This package contains linear and nonlinear regression methods based ... Partial Least Squares and Penalization Techniques. Model parameters are selected via cross-validation, and confidence...
  • rms

  • Referenced in 88 articles [sw04532]
  • model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary ... models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized...
  • lslx

  • Referenced in 2 articles [sw33243]
  • Squares. Fits semi-confirmatory structural equation modeling (SEM) via penalized likelihood (PL) or penalized least...
  • SEL

  • Referenced in 2 articles [sw19664]
  • density is obtained by penalized least squares based on a Brier entropy penalty. The package...
  • CGIST

  • Referenced in 1 article [sw26995]
  • Matlab based solver for L1-penalized least squares problems. This code is an implementation ... Saarland University). The algorithm solves L1-penalized least squares problems using a forward-backward splitting...
  • lme4pureR

  • Referenced in 1 article [sw24144]
  • Pure R. R package. The penalized least squares (PLS) and penalized iteratively reweighted least squares...
  • oem

  • Referenced in 1 article [sw17392]
  • package oem. Orthogonalizing EM. Solves penalized least squares problems using the orthogonalizing EM algorithm...
  • MultiwayRegression

  • Referenced in 1 article [sw18394]
  • general and efficient algorithm for penalized least-squares estimation, which allows for a ridge...
  • SALES

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

  • Referenced in 3 articles [sw15719]
  • ordinary least squares (OLS), possibly with regularization. The library also offers construction of penalized splines...
  • lassopack

  • Referenced in 0 articles [sw37548]
  • regression, adaptive lasso, and postestimation ordinary least squares. The methods are suitable for the high ... offer three approaches for selecting the penalization (“tuning”) parameters: information criteria (implemented in lasso2...
  • CGAL

  • Referenced in 360 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • Gerris

  • Referenced in 271 articles [sw00341]
  • Gerris is a Free Software program for the...
  • KNITRO

  • Referenced in 179 articles [sw00490]
  • KNITRO is a solver for nonlinear optimization. It...
  • L1Packv2

  • Referenced in 2 articles [sw00497]
  • L1Packv2: A Mathematica package for minimizing an L...
  • LANCELOT

  • Referenced in 299 articles [sw00500]
  • LANCELOT. A Fortran package for large-scale nonlinear...
  • LAPACK

  • Referenced in 1642 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...