# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "citsr" in publications use:'
type: software
license: MIT
title: 'citsr: Controlled Interrupted Time Series Analysis and Visualization'
version: 0.1.3
doi: 10.32614/CRAN.package.citsr
abstract: Implements controlled interrupted time series (CITS) analysis for evaluating
  interventions in comparative time-series data. The package provides tools for preparing
  panel time-series datasets, fitting models using generalized least squares (GLS)
  with optional autoregressive–moving-average (ARMA) error structures, and computing
  fitted values and robust standard errors using cluster-robust variance estimators
  (CR2). Visualization functions enable clear presentation of estimated effects and
  counterfactual trajectories following interventions. Background on methods for causal
  inference in interrupted time series can be found in Linden and Adams (2011) <https://doi.org/10.1111/j.1365-2753.2010.01504.x>
  and Lopez Bernal, Cummins, and Gasparrini (2018) <https://doi.org/10.1093/ije/dyy135>.
authors:
- family-names: Gu
  given-names: Hanmin
  email: ghm21zzang@gmail.com
repository: https://hmgu-urban.r-universe.dev
commit: 22f12e59cd6f414a925158713ae34f94622e51ef
date-released: '2025-12-22'
contact:
- family-names: Gu
  given-names: Hanmin
  email: ghm21zzang@gmail.com