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SemiPar
- Referenced in 761 articles
[sw07116]
- semiparametric regression is based on penalized regression splines and mixed models. Every model in this...
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pi-MASS
- Referenced in 20 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...
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rms
- Referenced in 100 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...
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QICD
- Referenced in 20 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...
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gss
- Referenced in 317 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...
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quantreg
- Referenced in 162 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...
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pffr
- Referenced in 24 articles
[sw36435]
- package pffr: Penalized flexible functional regression. In refund: Regression with Functional Data...
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gglasso
- Referenced in 30 articles
[sw14361]
- paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared...
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ncvreg
- Referenced in 9 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...
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rqPen
- Referenced in 7 articles
[sw19266]
- package rqPen: Penalized Quantile Regression. Performs penalized quantile regression for LASSO, SCAD and MCP functions...
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PenPC
- Referenced in 7 articles
[sw25384]
- entries of a concentration matrix using penalized regression, and then fix the difference between...
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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...
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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...
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glmmAK
- Referenced in 28 articles
[sw13218]
- Poisson regression model with random effects whose distribution is specified as a penalized normal mixture...
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MGLM
- Referenced in 3 articles
[sw19421]
- distributions, and (3) run regression and penalized regression on the multivariate categorical response data. Implemented...
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ordinalNet
- Referenced in 6 articles
[sw20527]
- package ordinalNet: Penalized Ordinal Regression. Fits ordinal regression models with elastic net penalty by coordinate...
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RobustSP
- Referenced in 3 articles
[sw27068]
- complex-valued data, robust covariance estimation, penalized regression models, dependent data, robust bootstrap, and tensors...
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penalized
- Referenced in 28 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...
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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...
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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; One-Class SVM; Regularisation Networks; SVM bounds...