
OSCAR
 Referenced in 55 articles
[sw03026]
 behavior. The technique is based on penalized least squares with a geometrically intuitive penalty function...

gglasso
 Referenced in 21 articles
[sw14361]
 solution paths of the grouplasso penalized least squares, logistic regression, Huberized SVM and squared...

flare
 Referenced in 19 articles
[sw12406]
 optimization problem into a sequential L1 penalized least square minimization problem, which can be efficiently...

lslx
 Referenced in 4 articles
[sw33243]
 Squares. Fits semiconfirmatory structural equation modeling (SEM) via penalized likelihood (PL) or penalized least...

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 crossvalidation, and confidence...

rms
 Referenced in 96 articles
[sw04532]
 model for rightcensored responses, and implements penalized maximum likelihood estimation for logistic and ordinary ... models, the BuckleyJames model, generalized least squares for serially or spatially correlated observations, generalized...

oem
 Referenced in 2 articles
[sw17392]
 package oem. Orthogonalizing EM. Solves penalized least squares problems using the orthogonalizing EM algorithm...

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 L1penalized least squares problems. This code is an implementation ... Saarland University). The algorithm solves L1penalized least squares problems using a forwardbackward splitting...

lme4pureR
 Referenced in 1 article
[sw24144]
 Pure R. R package. The penalized least squares (PLS) and penalized iteratively reweighted least squares...

MultiwayRegression
 Referenced in 1 article
[sw18394]
 general and efficient algorithm for penalized leastsquares 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 4 articles
[sw15719]
 ordinary least squares (OLS), possibly with regularization. The library also offers construction of penalized splines...

Gooogle
 Referenced in 2 articles
[sw41324]
 formulated using least squares approximation and then the parameters involved in the penalized likelihood...

AQSES
 Referenced in 1 article
[sw40440]
 mathematically formulated as a separable nonlinear leastsquares fitting problem, which is numerically solved using ... nonparametric modelling, efficiently implemented using penalized splines. Unwanted components such as residual water are removed...

lassopack
 Referenced in 1 article
[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 394 articles
[sw00118]
 The goal of the CGAL Open Source Project...

Gerris
 Referenced in 344 articles
[sw00341]
 Gerris is a Free Software program for the...

Gmsh
 Referenced in 765 articles
[sw00366]
 Gmsh is a 3D finite element grid generator...

KNITRO
 Referenced in 196 articles
[sw00490]
 KNITRO is a solver for nonlinear optimization. It...