DebiasInfer: Efficient Inference on High-Dimensional Linear Model with Missing Outcomes
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: | 0.2.1 |
| Imports: | CVXR, caret, stats |
| Suggests: | MASS, glmnet |
| Published: | 2026-03-13 |
| 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_0.2.1.tar.gz |
| Windows binaries: | r-devel: DebiasInfer_0.2.1.zip, r-release: DebiasInfer_0.2.zip, r-oldrel: DebiasInfer_0.2.1.zip |
| macOS binaries: | r-release (arm64): DebiasInfer_0.2.1.tgz, r-oldrel (arm64): DebiasInfer_0.2.1.tgz, r-release (x86_64): DebiasInfer_0.2.1.tgz, r-oldrel (x86_64): DebiasInfer_0.2.1.tgz |
| Old sources: | DebiasInfer archive |
Linking:
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