R: Bias Correction Methods for Models Using Synthetic Data

# Bias Correction Methods for Models Using Synthetic Data

## Documentation for package ‘MLBC’ version 0.2.2

- DESCRIPTION file
- Package README

## Help Pages

ols | Ordinary Least Squares (OLS) regression
ols.default | Ordinary Least Squares (OLS) regression
ols.formula | Ordinary Least Squares (OLS) regression
ols_bca | Additive bias-corrected OLS (BCA)
ols_bca.default | Additive bias-corrected OLS (BCA)
ols_bca.formula | Additive bias-corrected OLS (BCA)
ols_bca_topic | Additive bias-corrected OLS for topic models (BCA-Topic)
ols_bca_topic.default | Additive bias-corrected OLS for topic models (BCA-Topic)
ols_bca_topic.formula | Additive bias-corrected OLS for topic models (BCA-Topic)
ols_bcm | Multiplicative bias-corrected OLS (BCM)
ols_bcm.default | Multiplicative bias-corrected OLS (BCM)
ols_bcm.formula | Multiplicative bias-corrected OLS (BCM)
ols_bcm_topic | Multiplicative bias-corrected OLS for topic models (BCM-Topic)
ols_bcm_topic.default | Multiplicative bias-corrected OLS for topic models (BCM-Topic)
ols_bcm_topic.formula | Multiplicative bias-corrected OLS for topic models (BCM-Topic)
one_step | One-step maximum likelihood estimation
one_step.default | One-step maximum likelihood estimation
one_step.formula | One-step maximum likelihood estimation
SD_data | Job postings dataset
topic_model_data | Topic model dataset