MLBC: Bias Correction Methods for Models Using Synthetic Data

Implements three bias-correction techniques (additive bias correction, multiplicative bias correction, and one-step estimation via Template Model Builder (TMB)) based on Battaglia et al. (2025 <doi:10.48550/arXiv.2402.15585>) to improve inference using synthetic data.

Version: 0.2.1
Depends: R (≥ 3.5)
Imports: TMB, MASS, numDeriv, stats
LinkingTo: TMB, RcppEigen
Suggests: roxygen2
Published: 2025-06-04
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.pdf

Downloads:

Package source: MLBC_0.2.1.tar.gz
Windows binaries: r-devel: MLBC_0.1.0.zip, r-release: MLBC_0.1.0.zip, r-oldrel: MLBC_0.1.0.zip
macOS binaries: r-release (arm64): MLBC_0.2.1.tgz, r-oldrel (arm64): MLBC_0.2.1.tgz, r-release (x86_64): MLBC_0.2.1.tgz, r-oldrel (x86_64): MLBC_0.2.1.tgz
Old sources: MLBC archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MLBC to link to this page.