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-4.7-any)DDL_1.0.2.tar.gz(r-4.6-any)
DDL_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DDL/json (API)

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

On CRAN:

Conda:

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

1.70 score 1 stars 1 scripts 219 downloads 2 exports 10 dependencies

Last updated from:53d05e18ce. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK125
source / vignettesOK189
linux-release-x86_64OK103
wasm-releaseOK107

Exports:ciDDL

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival