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ratecalib  

Calibration Weighting to Multiple Subgroup Pass-Rate Targets
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ratecalib", "0.3.0")



Attach the package and use:
library("ratecalib")
Maintained by
Kunxiang Ma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-25
Latest Update: 2026-06-25
Description:
Calibration weighting for binary-outcome pass rates against multiple overlapping subgroup targets. Adjusts initial positive weights so that the overall pass rate and subgroup pass rates approach (soft mode) or exactly match (exact mode) given targets, while preserving the initial weight structure and population margins. Provides a one-step interface, pre-solve data checks, target-table construction, effective sample size and design-effect diagnostics, and example data. The solver works on a bounded convex quadratic program over demographic-cell-by-outcome aggregates for efficiency on large samples. Methods follow the calibration approach of Deville and Saerndal (1992) <doi:10.1080/01621459.1992.10475217>.
How to cite:
Kunxiang Ma (2026). ratecalib: Calibration Weighting to Multiple Subgroup Pass-Rate Targets. R package version 0.3.0, https://cran.r-project.org/web/packages/ratecalib. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-16 12:20), 0.3.0 (2026-06-25 17:10)
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Complete documentation for ratecalib
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