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Statistical inference for the regression coefficients in high-dimensional linear models with hidden confounders. The Doubly Debiased Lasso method was proposed in <doi:10.48550/arXiv.2004.03758>.
| Version: | 1.0.2 |
| Imports: | stats, glmnet, Matrix |
| Published: | 2023-04-09 |
| Author: | Domagoj Ćevid [aut], Chengzhu Huang [aut], Zijian Guo [aut, cre], Peter Bühlmann [aut] |
| Maintainer: | Zijian Guo <zijguo at stat.rutgers.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | DDL results |
| Reference manual: | DDL.pdf |
| Package source: | DDL_1.0.2.tar.gz |
| Windows binaries: | r-devel: DDL_1.0.2.zip, r-release: DDL_1.0.2.zip, r-oldrel: DDL_1.0.2.zip |
| macOS binaries: | r-release (arm64): DDL_1.0.2.tgz, r-oldrel (arm64): DDL_1.0.2.tgz, r-release (x86_64): DDL_1.0.2.tgz, r-oldrel (x86_64): DDL_1.0.2.tgz |
| Old sources: | DDL archive |
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