DebiasInfer
0.2.1Efficient Inference on High-Dimensional Linear Model with Missing Outcomes
Overview
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.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-05-0213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-2511 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1814 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 1 earlier snapshots
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 20%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 80%
Downloads
Repository
Releases over time
Repository practices
Checks run against github.com/zhangyk8/debias-infer on 2026-07-19.
No development-tooling practices detected in the upstream repository.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 7.0 median / 13 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
5 5 exported
Complexity
6.6 avg / 13 max
Call network
5 nodes / 4 edges
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.2.1Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.22023-10-09 · diff ↗
- 0.12023-09-14
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-09-14
- Total releases
- 3 / 3 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 12 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet