Package: MLBC 0.2.2
Konrad Kurczynski
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.
Authors:
MLBC_0.2.2.tar.gz
MLBC_0.2.2.tar.gz(r-4.7-arm64)MLBC_0.2.2.tar.gz(r-4.7-x86_64)MLBC_0.2.2.tar.gz(r-4.6-arm64)MLBC_0.2.2.tar.gz(r-4.6-x86_64)
MLBC_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MLBC/json (API)
| # Install 'MLBC' in R: |
| install.packages('MLBC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- SD_data - Job postings dataset
- topic_model_data - Topic model dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:8f3b8b392c. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 173 | ||
| linux-devel-x86_64 | OK | 210 | ||
| source / vignettes | OK | 267 | ||
| linux-release-arm64 | OK | 216 | ||
| linux-release-x86_64 | OK | 172 | ||
| wasm-release | OK | 142 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Ordinary Least Squares (OLS) regression | ols ols.default ols.formula |
| Additive bias-corrected OLS (BCA) | ols_bca ols_bca.default ols_bca.formula |
| Additive bias-corrected OLS for topic models (BCA-Topic) | ols_bca_topic ols_bca_topic.default ols_bca_topic.formula |
| Multiplicative bias-corrected OLS (BCM) | ols_bcm ols_bcm.default ols_bcm.formula |
| Multiplicative bias-corrected OLS for topic models (BCM-Topic) | ols_bcm_topic ols_bcm_topic.default ols_bcm_topic.formula |
| One-step maximum likelihood estimation | one_step one_step.default one_step.formula |
| Job postings dataset | SD_data |
| Topic model dataset | topic_model_data |