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CRAN: Package HDCI

HDCI: High Dimensional Confidence Interval Based on Lasso and Bootstrap

Fits regression models on high dimensional data to estimate coefficients and use bootstrap method to obtain confidence intervals. Choices for regression models are Lasso, Lasso+OLS, Lasso partial ridge, Lasso+OLS partial ridge.

Version: 1.0-2 Imports: glmnet, slam, parallel, foreach, iterators, doParallel, lattice, Matrix, mvtnorm Published: 2017-06-06 DOI: 10.32614/CRAN.package.HDCI Author: Hanzhong Liu, Xin Xu, Jingyi Jessica Li Maintainer: Xin Xu <xin.xu at yale.edu> License: GNU General Public License version 2 NeedsCompilation: no CRAN checks: HDCI results Documentation: Downloads: Reverse dependencies: Linking:

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