• Monomvn

  • Referenced in 10 articles [sw08173]
  • parsimonious/shrinkage regressions (plsr, pcr, lasso, ridge, etc.), where standard regressions fail, the package can handle ... supports maximum likelihood inference and a full Bayesian approach employing scale-mixtures for Gibbs sampling ... fully functional standalone interface to the Bayesian lasso (from Park & Casella), Normal-Gamma (from Griffin...
  • EBglmnet

  • Referenced in 2 articles [sw15564]
  • package EBglmnet: Empirical Bayesian Lasso and Elastic Net Methods for Generalized Linear Models. Provides empirical ... Bayesian lasso and elastic net algorithms for variable selection and effect estimation. Key features include...
  • BhGLM

  • Referenced in 3 articles [sw10342]
  • cases, e.g., classical GLMs, ridge regression, Bayesian lasso, and various adaptive lasso. These methods...
  • BSGW

  • Referenced in 1 article [sw29207]
  • package BSGW: Bayesian Survival Model with Lasso Shrinkage Using Generalized Weibull Regression. Bayesian survival model ... with time - hazard ratios between subjects. Bayesian Lasso shrinkage in the form of two Laplace...
  • blasso

  • Referenced in 13 articles [sw06769]
  • lasso. The estimate that it produces can be viewed as a Bayesian posterior mode under...
  • pi-MASS

  • Referenced in 16 articles [sw17249]
  • other large-scale problems We consider applying Bayesian Variable Selection Regression, or BVSR, to genome ... analyses and the penalized regression method LASSO. Methods described here are implemented in a software...
  • BayesReg

  • Referenced in 3 articles [sw31836]
  • Fits linear or logistic regression model using Bayesian global-local shrinkage prior hierarchies as described ... /acprof:oso/9780199694587.003.0017>. Handles ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace or Student...
  • spinyReg

  • Referenced in 4 articles [sw14821]
  • dimensional regression. We address the problem of Bayesian variable selection for high-dimensional linear regression ... high-dimensional variable selection algorithms (such as lasso, adaptive lasso, stability selection or spike...
  • MHTrajectoryR

  • Referenced in 3 articles [sw18786]
  • Bayesian model selection in logistic regression for the detection of adverse drug reactions. Spontaneous adverse ... logistic regressions have been used with a Lasso type penalty to perform the detection...
  • BSL

  • Referenced in 1 article [sw29747]
  • alternative to standard, non-parametric approximate Bayesian computation (ABC). BSL assumes a multivariate normal distribution ... semiBSL) and two shrinkage estimations (graphical lasso and Warton’s estimation). uBSL (Price...
  • LSQR

  • Referenced in 372 articles [sw00530]
  • Algorithm 583: LSQR: Sparse Linear Equations and Least...
  • MapReduce

  • Referenced in 253 articles [sw00546]
  • MapReduce is a new parallel programming model initially...
  • Matlab

  • Referenced in 12557 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • mclust

  • Referenced in 268 articles [sw00563]
  • R package mclust: Normal Mixture Modeling for Model...
  • mixAK

  • Referenced in 13 articles [sw00580]
  • R package mixAK: Mixture of methods including mixtures...
  • Octave

  • Referenced in 294 articles [sw00646]
  • GNU Octave is a high-level language, primarily...
  • R

  • Referenced in 8776 articles [sw00771]
  • R is a language and environment for statistical...
  • GLIM

  • Referenced in 187 articles [sw01126]
  • GLIM - a system for interactive fitting of generalized...
  • QUADPACK

  • Referenced in 253 articles [sw01236]
  • Fortran subprograms for evaluating definite integrals of functions...
  • LASSO

  • Referenced in 32 articles [sw02850]
  • A gradient descent algorithm for LASSO LASSO is...