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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 |
| Reference manual: | HDCI.pdf |
| Package source: | HDCI_1.0-2.tar.gz |
| Windows binaries: | r-devel: HDCI_1.0-2.zip, r-release: HDCI_1.0-2.zip, r-oldrel: HDCI_1.0-2.zip |
| macOS binaries: | r-release (arm64): HDCI_1.0-2.tgz, r-oldrel (arm64): HDCI_1.0-2.tgz, r-release (x86_64): HDCI_1.0-2.tgz, r-oldrel (x86_64): HDCI_1.0-2.tgz |
| Reverse imports: | ACSSpack, IFAA |
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