
SemiPar
 Referenced in 761 articles
[sw07116]
 semiparametric regression is based on penalized regression splines and mixed models. Every model in this...

piMASS
 Referenced in 20 articles
[sw17249]
 SNPs as the covariates in the regression. Characteristic features of genomewide association studies include ... BVSR compared with alternatives such as penalized regression methods. We focus primarily on analysis ... standard singleSNP analyses and the penalized regression method LASSO. Methods described here are implemented...

rms
 Referenced in 100 articles
[sw04532]
 BuckleyJames multiple regression model for rightcensored responses, and implements penalized maximum likelihood estimation ... linear models. rms works with almost any regression model, but it was especially written...

QICD
 Referenced in 20 articles
[sw19679]
 Estimate the Coefficients for NonConvex Penalized Quantile Regression Model by using QICD Algorithm. Extremely ... Descent Algorithm for Highdimensional Nonconvex Penalized Quantile Regression. This algorithm combines the coordinate descent...

gss
 Referenced in 317 articles
[sw06099]
 unified framework. Methods are developed for (i) regression with Gaussian and nonGaussian responses ... covariates. The unifying themes are the general penalized likelihood method and the construction of multivariate ... popular S/S PLUS language. Code for regression has been distributed in the R package...

quantreg
 Referenced in 162 articles
[sw04356]
 package quantreg: Quantile Regression. Estimation and inference methods for models of conditional quantiles: Linear ... nonlinear parametric and nonparametric (total variation penalized) models for conditional quantiles of a univariate...

pffr
 Referenced in 24 articles
[sw36435]
 package pffr: Penalized flexible functional regression. In refund: Regression with Functional Data...

gglasso
 Referenced in 30 articles
[sw14361]
 paths of the grouplasso penalized least squares, logistic regression, Huberized SVM and squared...

ncvreg
 Referenced in 9 articles
[sw08179]
 Regularization paths for SCAD and MCPpenalized regression models. Efficient algorithms for fitting regularization paths ... linear or logistic regression models penalized by MCP or SCAD, with optional additional L2 penalty...

rqPen
 Referenced in 7 articles
[sw19266]
 package rqPen: Penalized Quantile Regression. Performs penalized quantile regression for LASSO, SCAD and MCP functions...

PenPC
 Referenced in 7 articles
[sw25384]
 entries of a concentration matrix using penalized regression, and then fix the difference between...

bayesreg
 Referenced in 5 articles
[sw31331]
 priors are implemented that will shrink small regression coefficients towards zero. The available options ... preprint Shrinkage priors for Bayesian penalized regression. Note that only the full Bayesian approach...

cvplogistic
 Referenced in 5 articles
[sw29394]
 Package: cvplogistic. Penalized Logistic Regression Model using Majorization Minimization by Coordinate Descent (MMCD) Algorithm ... compute the solution surface for concave penalized logistic regression model. The SCAD and MCP (default...

glmmAK
 Referenced in 28 articles
[sw13218]
 Poisson regression model with random effects whose distribution is specified as a penalized normal mixture...

MGLM
 Referenced in 3 articles
[sw19421]
 distributions, and (3) run regression and penalized regression on the multivariate categorical response data. Implemented...

ordinalNet
 Referenced in 6 articles
[sw20527]
 package ordinalNet: Penalized Ordinal Regression. Fits ordinal regression models with elastic net penalty by coordinate...

RobustSP
 Referenced in 3 articles
[sw27068]
 complexvalued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors...

penalized
 Referenced in 28 articles
[sw06071]
 penalized: Efficient approximate kfold and leaveoneout crossvalidation for ridge regression ... several microarray data sets. An R package penalized, which implements the method, is available...

OSCAR
 Referenced in 58 articles
[sw03026]
 OSCAR (octagonal shrinkage and clustering algorithm for regression), is proposed to simultaneously select variables while ... similar behavior. The technique is based on penalized least squares with a geometrically intuitive penalty...

SVM
 Referenced in 31 articles
[sw14904]
 linear and quadratic penalization of misclassified examples ( penalization coefficients can be different for each examples ... Scale SVM Classification/Regression; SVM epsilon and nu regression; OneClass SVM; Regularisation Networks; SVM bounds...