Package: DDL 1.0.2

Zijian Guo

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>.

Authors:Domagoj Ćevid [aut], Chengzhu Huang [aut], Zijian Guo [aut, cre], Peter Bühlmann [aut]

DDL_1.0.2.tar.gz
DDL_1.0.2.tar.gz(r-4.5-noble)DDL_1.0.2.tar.gz(r-4.4-noble)
DDL_1.0.2.tgz(r-4.4-emscripten)DDL_1.0.2.tgz(r-4.3-emscripten)
DDL.pdf |DDL.html
DDL/json (API)

# Install 'DDL' in R:
install.packages('DDL', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 1 scripts 218 downloads 2 exports 10 dependencies

Last updated 2 years agofrom:53d05e18ce. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 14 2024
R-4.5-linuxOKDec 14 2024

Exports:ciDDL

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival