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citsr  

Controlled Interrupted Time Series Analysis and Visualization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("citsr", "0.1.3")



Attach the package and use:
library("citsr")
Maintained by
Hanmin Gu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-22
Latest Update: 2025-12-22
Description:
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) <doi:10.1111/j.1365-2753.2010.01504.x> and Lopez Bernal, Cummins, and Gasparrini (2018) <doi:10.1093/ije/dyy135>.
How to cite:
Hanmin Gu (2025). citsr: Controlled Interrupted Time Series Analysis and Visualization. R package version 0.1.3, https://cran.r-project.org/web/packages/citsr. Accessed 05 Jun. 2026.
Previous versions and publish date:
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Functions, R codes and Examples using the citsr R package
Full citsr package functions and examples
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