DDL: Doubly Debiased Lasso (DDL)

Statistical inference for the regression coefficients in high-dimensional linear models with hidden confounders. The Doubly Debiased Lasso method was proposed in <arXiv:2004.03758>.

Version:	1.0.1
Imports:	stats, glmnet, Matrix
Published:	2022-06-30
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

Documentation:

Reference manual:

DDL.pdf

Downloads:

Package source:	DDL_1.0.1.tar.gz
Windows binaries:	r-devel: DDL_1.0.1.zip, r-release: DDL_1.0.1.zip, r-oldrel: DDL_1.0.1.zip
macOS binaries:	r-release (arm64): DDL_1.0.1.tgz, r-oldrel (arm64): DDL_1.0.1.tgz, r-release (x86_64): DDL_1.0.1.tgz, r-oldrel (x86_64): DDL_1.0.1.tgz
Old sources:	DDL archive

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