# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "ratecalib" in publications use:'
type: software
license: MIT
title: 'ratecalib: Calibration Weighting to Multiple Subgroup Pass-Rate Targets'
version: 0.3.0
abstract: 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) <https://doi.org/10.1080/01621459.1992.10475217>.
authors:
- family-names: Ma
  given-names: Kunxiang
  email: mkx07080412@gmail.com
repository: https://cran.r-universe.dev
repository-code: https://github.com/makunxiang-cmd/ratecalib
commit: ff20222d1ddd9b7ec12a921588079988ad514e1c
url: https://github.com/makunxiang-cmd/ratecalib
date-released: '2026-06-25'
contact:
- family-names: Ma
  given-names: Kunxiang
  email: mkx07080412@gmail.com