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  • SemiPar
  • Referenced in 640 articles [sw07116]
  • semiparametric regression is based on penalized regression splines and mixed models. Every model in this...

  • pi-MASS
  • Referenced in 17 articles [sw17249]
  • SNPs as the covariates in the regression. Characteristic features of genome-wide association studies include ... BVSR compared with alternatives such as penalized regression methods. We focus primarily on analysis ... standard single-SNP analyses and the penalized regression method LASSO. Methods described here are implemented...

  • rms
  • Referenced in 80 articles [sw04532]
  • Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation ... linear models. rms works with almost any regression model, but it was especially written...

  • gss
  • Referenced in 252 articles [sw06099]
  • unified framework. Methods are developed for (i) regression with Gaussian and non-Gaussian 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 119 articles [sw04356]
  • package quantreg: Quantile Regression. Estimation and inference methods for models of conditional quantiles: Linear ... nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate...

  • QICD
  • Referenced in 10 articles [sw19679]
  • Estimate the Coefficients for Non-Convex Penalized Quantile Regression Model by using QICD Algorithm. Extremely ... Descent Algorithm for High-dimensional Nonconvex Penalized Quantile Regression. This algorithm combines the coordinate descent...

  • gglasso
  • Referenced in 16 articles [sw14361]
  • paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared...

  • ncvreg
  • Referenced in 5 articles [sw08179]
  • Regularization paths for SCAD- and MCP-penalized 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 4 articles [sw19266]
  • package rqPen: Penalized Quantile Regression. Performs penalized quantile regression for LASSO, SCAD and MCP functions...

  • cvplogistic
  • Referenced in 4 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 24 articles [sw13218]
  • Poisson regression model with random effects whose distribution is specified as a penalized normal mixture...

  • PenPC
  • Referenced in 3 articles [sw25384]
  • entries of a concentration matrix using penalized regression, and then fix the difference between...

  • ordinalNet
  • Referenced in 4 articles [sw20527]
  • package ordinalNet: Penalized Ordinal Regression. Fits ordinal regression models with elastic net penalty by coordinate...

  • CAM

  • Referenced in 2 articles [sw23430]
  • Models, high-dimensional order search and penalized regression”, Annals of Statistics...

  • penalized
  • Referenced in 24 articles [sw06071]
  • penalized: Efficient approximate k-fold and leave-one-out cross-validation for ridge regression ... several microarray data sets. An R package penalized, which implements the method, is available...

  • ppls
  • Referenced in 5 articles [sw24174]
  • linear and nonlinear regression methods based on Partial Least Squares and Penalization Techniques. Model parameters ... confidence intervals ans tests for the regression coefficients can be conducted via jackknifing...

  • SVM
  • Referenced in 29 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; One-Class SVM; Regularisation Networks; SVM bounds...

  • prclust
  • Referenced in 1 article [sw15942]
  • performed through penalized regression with grouping pursuit. In this package, we provide two algorithms ... fitting the penalized regression-based clustering (PRclust). One algorithm is based on quadratic penalty...

  • MGLM
  • Referenced in 1 article [sw19421]
  • distributions, and (3) run regression and penalized regression on the multivariate categorical response data. Implemented...

  • OSCAR
  • Referenced in 44 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...