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) .


Reference manual

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install.packages("DebiasInfer")

0.2.1 by Yikun Zhang, 7 months ago


https://github.com/zhangyk8/Debias-Infer/


Report a bug at https://github.com/zhangyk8/Debias-Infer/issues


Browse source code at https://github.com/cran/DebiasInfer


Authors: Yikun Zhang [aut, cre] , Alexander Giessing [aut] (ORCID: , Yen-Chi Chen [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports CVXR, caret, stats

Suggests MASS, glmnet


See at CRAN