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SPORTSCausal  

Spillover Time Series Causal Inference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SPORTSCausal", "1.0")



Attach the package and use:
library("SPORTSCausal")
Maintained by
Feiyu Yue
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-30
Latest Update: 2021-03-30
Description:
A time series causal inference model for Randomized Controlled Trial (RCT) under spillover effect. 'SPORTSCausal' (Spillover Time Series Causal Inference) separates treatment effect and spillover effect from given responses of experiment group and control group by predicting the response without treatment. It reports both effects by fitting the Bayesian Structural Time Series (BSTS) model based on 'CausalImpact', as described in Brodersen et al. (2015) <doi:10.1214/14-AOAS788>.
How to cite:
Feiyu Yue (2021). SPORTSCausal: Spillover Time Series Causal Inference. R package version 1.0, https://cran.r-project.org/web/packages/SPORTSCausal. Accessed 15 Jul. 2026.
Previous versions and publish date:
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Other packages that cited SPORTSCausal R package
View SPORTSCausal citation profile
Other R packages that SPORTSCausal depends, imports, suggests or enhances
Complete documentation for SPORTSCausal
Functions, R codes and Examples using the SPORTSCausal R package
Some associated functions: SPORTSCausal-package . ad_cost . sportscausal . 
Some associated R codes: sportscausal.R .  Full SPORTSCausal package functions and examples
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