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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 |
| Reference manual: | MLBC.html , MLBC.pdf |
| Package source: | MLBC_0.2.2.tar.gz |
| Windows binaries: | r-devel: MLBC_0.2.1.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 |
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