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CRAN: Package MLBC

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.

Version: 0.2.2 Depends: R (≥ 3.5) Imports: TMB, MASS, numDeriv, stats LinkingTo: TMB, RcppEigen Suggests: roxygen2 Published: 2025-07-17 DOI: 10.32614/CRAN.package.MLBC Author: Konrad Kurczynski [aut, cre], Timothy Christensen [aut] Maintainer: Konrad Kurczynski <konrad.kurczynski at yale.edu> License: MIT + file LICENSE NeedsCompilation: yes Materials: README CRAN checks: MLBC results Documentation: Reference manual: MLBC.html , MLBC.pdf Downloads: Package source: MLBC_0.2.2.tar.gz Windows binaries: r-devel: MLBC_0.2.2.zip, r-release: MLBC_0.2.2.zip, r-oldrel: MLBC_0.2.2.zip macOS binaries: r-release (arm64): MLBC_0.2.2.tgz, r-oldrel (arm64): MLBC_0.2.2.tgz, r-release (x86_64): MLBC_0.2.2.tgz, r-oldrel (x86_64): MLBC_0.2.2.tgz Old sources: MLBC archive Linking:

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