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MLBC  

Bias Correction Methods for Models Using Synthetic Data
View on CRAN: Click here


Download and install MLBC package within the R console
Install from CRAN:
install.packages("MLBC")

Install from Github:
library("remotes")
install_github("cran/MLBC")

Install by package version:
library("remotes")
install_version("MLBC", "0.2.2")



Attach the package and use:
library("MLBC")
Maintained by
Konrad Kurczynski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-19
Latest Update: 2025-07-17
Description:
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.
How to cite:
Konrad Kurczynski (2025). MLBC: Bias Correction Methods for Models Using Synthetic Data. R package version 0.2.2, https://cran.r-project.org/web/packages/MLBC. Accessed 04 Oct. 2026.
Previous versions and publish date:
0.1.0 (2025-05-19 11:00), 0.2.1 (2025-06-04 16:20), (2026-07-09 08:09)
Other packages that cited MLBC R package
View MLBC citation profile
Other R packages that MLBC depends, imports, suggests or enhances
Complete documentation for MLBC
Functions, R codes and Examples using the MLBC R package
Full MLBC package functions and examples
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