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 |
Reference manual: | DebiasInfer.pdf |
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 |
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