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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "cosmic" in publications use:'
type: software
license: MIT
title: 'cosmic: Conditional Ordinal Stereotype Model for Incident-Level Comparison'
version: '0.5'
doi: 10.32614/CRAN.package.cosmic
abstract: Implements the Conditional Ordinal Stereotype Model for Incident-Level Comparison
  (COSMIC), a method for analyzing ordinal outcomes observed across multiple actors
  within shared events. The model uses a conditional likelihood to remove event-level
  confounding and estimate actor-specific propensities relative to their peers. Efficient
  computation is achieved via a dynamic programming algorithm for the Poisson-multinomial
  normalization term, enabling scalable estimation with Markov chain Monte Carlo.
  The package provides tools for data preparation, model fitting using Stan, and extraction
  of posterior summaries for comparative inference. Estimation of police officer propensity
  to escalate force is the primary motivation for the model. For more details see
  Ridgeway (2026) "A Conditional Ordinal Stereotype Model to Estimate Police Officers’
  Propensity to Escalate Force" <https://doi.org/10.1080/01621459.2025.2597050>.
authors:
- family-names: Ridgeway
  given-names: Greg
  email: gridge@upenn.edu
repository: https://gregridgeway.r-universe.dev
commit: 5b6ef2e7e1f8b951f24c95031a9ef2ceb5fbc652
date-released: '2026-04-30'
contact:
- family-names: Ridgeway
  given-names: Greg
  email: gridge@upenn.edu