• # sda

• Referenced in 3 articles [sw06073]
• Shrinkage Discriminant Analysis and CAT Score Variable Selection , This package provides an efficient framework ... classifier is trained using James-Stein-type shrinkage estimators and predictor variables are ranked using...
• # psbcGroup

• Referenced in 3 articles [sw24007]
• Parametric and Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors. Algorithms for fitting penalized ... parametric and semiparametric Bayesian survival models with shrinkage and grouping priors...
• # BayesReg

• Referenced in 3 articles [sw31836]
• bayesreg: Bayesian Regression Models with Global-Local Shrinkage Priors. Fits linear or logistic regression model ... using Bayesian global-local shrinkage prior hierarchies as described in Polson and Scott...
• # RXshrink

• Referenced in 2 articles [sw27789]
• package RXshrink: Maximum Likelihood Shrinkage via Generalized Ridge or Least Angle Regression. Identify and display ... TRACEs for a specified shrinkage path and determine the extent of shrinkage most likely, under...
• # mpath

• Referenced in 3 articles [sw13914]
• regression models. The penalties include least absolute shrinkage and selection operator (LASSO), smoothly clipped absolute...
• # SpaRSA

• Referenced in 3 articles [sw20467]
• statistics. Basis pursuit, the least absolute shrinkage and selection operator (LASSO), waveletbased deconvolution and reconstruction...
• # MVR

• Referenced in 1 article [sw06770]
• technique to generate local-pooled or regularized shrinkage estimators of population parameters, (ii) the regularization ... sample variance estimator is improved by a shrinkage estimator using information contained in the sample ... mean. From these joint regularized shrinkage estimators, we derived regularized $t$-like statistics and show ... standard sample counterparts, or regular common value-shrinkage estimators, or when the information contained...
• # CorShrink

• Referenced in 1 article [sw37289]
• CorShrink: Empirical Bayes shrinkage estimation of correlations, with applications. Estimation of correlation matrices and correlations ... number of variables – some kind of shrinkage or regularization is necessary to improve estimation accuracy ... Here, we propose an Empirical Bayes shrinkage approach, CorShrink, which adaptively learns how much ... CorShrink is competitive with other popular correlation shrinkage methods, even when there is no missing...
• # st

• Referenced in 1 article [sw24549]
• package st: Shrinkage t Statistic and Correlation-Adjusted t-Score. Implements the ”shrinkage t” statistic ... Opgen-Rhein and Strimmer (2007) and a shrinkage estimate of the ”correlation-adjusted t-score...
• # BSGW

• Referenced in 1 article [sw29207]
• package BSGW: Bayesian Survival Model with Lasso Shrinkage Using Generalized Weibull Regression. Bayesian survival model ... time - hazard ratios between subjects. Bayesian Lasso shrinkage in the form of two Laplace priors ... functions can be used to tune the shrinkage parameters. Monte Carlo Markov Chain (MCMC) sampling...
• # rarhsmm

• Referenced in 1 article [sw34685]
• Rabiner (1989) . The shrinkage estimation on the covariance matrices is based ... /S0047-259X(03)00096-4>. The shrinkage estimation on the autoregressive coefficients uses the elastic ... shrinkage detailed in Zou et al. (2005)
• # CON2D

• Referenced in 1 article [sw10362]
• model has been developed to predict temperature, shrinkage, and stress development in both horizontal ... plasticity, and the dynamic effect of solidification shrinkage on heat transfer across the interfacial...