A statistically and computationally efficient debiasing method for conducting valid inference on the high-dimensional linear regression function with missing outcomes. The reference paper is Zhang, Giessing, and Chen (2023) <doi:10.48550/arXiv.2309.06429>.
Version: 0.2 Imports: CVXR, caret, stats Suggests: MASS, glmnet Published: 2023-10-09 DOI: 10.32614/CRAN.package.DebiasInfer Author: Yikun Zhang [aut, cre], Alexander Giessing [aut], Yen-Chi Chen [aut] Maintainer: Yikun Zhang <yikunzhang at foxmail.com> BugReports: https://github.com/zhangyk8/Debias-Infer/issues License: MIT + file LICENSE URL: https://github.com/zhangyk8/Debias-Infer/ NeedsCompilation: no CRAN checks: DebiasInfer results Documentation: Reference manual: DebiasInfer.html , DebiasInfer.pdf Downloads: Package source: DebiasInfer_0.2.tar.gz Windows binaries: r-devel: DebiasInfer_0.2.zip, r-release: DebiasInfer_0.2.zip, r-oldrel: DebiasInfer_0.2.zip macOS binaries: r-release (arm64): DebiasInfer_0.2.tgz, r-oldrel (arm64): DebiasInfer_0.2.tgz, r-release (x86_64): DebiasInfer_0.2.tgz, r-oldrel (x86_64): DebiasInfer_0.2.tgz Old sources: DebiasInfer archive Linking:Please use the canonical form https://CRAN.R-project.org/package=DebiasInfer to link to this page.
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