Nothing
MLBC: Bias Correction Methods for Models Using Synthetic Data
Implements three bias-correction techniques from Battaglia et al. (2025 <doi:10.48550/arXiv.2402.15585>) to improve inference in regression models with covariates generated by AI or machine learning.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Konrad Kurczynski [aut, cre], Timothy Christensen [aut] |
| Maintainer | Konrad Kurczynski <konrad.kurczynski@yale.edu> |
| License | MIT + file LICENSE |
| Version | 0.2.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the MLBC package in your browser
Any scripts or data that you put into this service are public.
