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 |
DOI: | 10.32614/CRAN.package.DDL |
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-devel (arm64): DDL_1.0.2.tgz, r-release (arm64): DDL_1.0.2.tgz, r-oldrel (arm64): DDL_1.0.2.tgz, r-devel (x86_64): 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 |
Please use the canonical form https://CRAN.R-project.org/package=DDL to link to this page.
mirror server hosted at Truenetwork, Russian Federation.