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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: 0.1.0
Imports: TMB
LinkingTo: TMB, RcppEigen
Suggests: roxygen2
Published: 2025-05-19
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_0.1.0.tar.gz
Windows binaries: r-devel: MLBC_0.1.0.zip, r-release: MLBC_0.1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): MLBC_0.1.0.tgz, r-oldrel (arm64): MLBC_0.1.0.tgz, r-release (x86_64): MLBC_0.1.0.tgz, r-oldrel (x86_64): MLBC_0.1.0.tgz

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.