Package: MLBC
Version: 0.2.2
Title: Bias Correction Methods for Models Using Synthetic Data
Authors@R: c(person("Konrad", "Kurczynski", role = c("aut","cre"), email="konrad.kurczynski@yale.edu"),
      person("Timothy", "Christensen", role = "aut", email="timothy.christensen@yale.edu"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: TMB, MASS, numDeriv, stats
LinkingTo: TMB, RcppEigen
Suggests: roxygen2
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2025-07-17 07:11:29 UTC; konradkurczynski
Author: Konrad Kurczynski [aut, cre],
  Timothy Christensen [aut]
Maintainer: Konrad Kurczynski <konrad.kurczynski@yale.edu>
Repository: CRAN
Date/Publication: 2025-07-17 07:30:12 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 18:30:40 UTC; unix
Archs: MLBC.so.dSYM
