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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.1 |
2026-04-09 windows/windows R-4.5 | DebiasInfer_0.2.1.zip |
37.9 KiB |