SPORTSCausal-package {SPORTSCausal}

Spillover Time Series Causal Inference

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>.

Details

The DESCRIPTION file:

Package:	SPORTSCausal
Type:	Package
Title:	Spillover Time Series Causal Inference
Version:	1.0
Imports:	CausalImpact, keras, stats, graphics, grDevices
Date:	2021-03-13
Author:	Zihao Zheng and Feiyu Yue
Maintainer:	Feiyu Yue <[e-mail]>
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>.
License:	GPL-2

Index of help topics:

SPORTSCausal-package    Spillover Time Series Causal Inference
ad_cost                 Advertising cost: a real experimental data
                        under spillover effect
sportscausal            Time series causal inference of Randomized
                        Controlled Trial (RCT) under spillover effect

Author(s)

Zihao Zheng and Feiyu Yue

Maintainer: Feiyu Yue <[e-mail]>

References

Brodersen et al. Inferring causal impact using Bayesian structural time-series models. Annals of Applied Statistics, 2015

See Also

http://google.github.io/CausalImpact/CausalImpact.html

Examples

## For more detail of the package, try ?sportscausal and ?ad_cost