Bias Correction Methods for Models Using Synthetic Data R package MLBC version 0.2.2 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. Software Depends: R (>= 3.5) Imports: TMB, MASS, numDeriv, stats LinkingTo: TMB, RcppEigen Suggests: roxygen2 Konrad Kurczynski <konrad.kurczynski@yale.edu> Comprehensive R Archive Network (CRAN) Konrad Kurczynski [aut, cre], Timothy Christensen [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=MLBC/LICENSE) 2025-07-17 application/tgz https://CRAN.R-project.org/package=MLBC doi:10.32614/CRAN.package.MLBC