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DebiasInfer  

Efficient Inference on High-Dimensional Linear Model with Missing Outcomes
View on CRAN: Click here


Download and install DebiasInfer package within the R console
Install from CRAN:
install.packages("DebiasInfer")

Install from Github:
library("remotes")
install_github("cran/DebiasInfer")

Install by package version:
library("remotes")
install_version("DebiasInfer", "0.2")



Attach the package and use:
library("DebiasInfer")
Maintained by
Yikun Zhang
[Scholar Profile | Author Map]
First Published: 2023-09-14
Latest Update: 2023-10-09
Description:
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) .
How to cite:
Yikun Zhang (2023). DebiasInfer: Efficient Inference on High-Dimensional Linear Model with Missing Outcomes. R package version 0.2, https://cran.r-project.org/web/packages/DebiasInfer. Accessed 03 May. 2025.
Previous versions and publish date:
0.1 (2023-09-14 12:32)
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Complete documentation for DebiasInfer
Functions, R codes and Examples using the DebiasInfer R package
Full DebiasInfer package functions and examples
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