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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 |
Reference manual: | MLBC.pdf |
Package source: | MLBC_0.2.1.tar.gz |
Windows binaries: | r-devel: MLBC_0.2.1.zip, r-release: MLBC_0.2.1.zip, r-oldrel: MLBC_0.2.1.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 |
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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.
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