SPORTSCausal-package {SPORTSCausal} | R Documentation |
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>.
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 <yuefyopals@gmail.com> |
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
Zihao Zheng and Feiyu Yue
Maintainer: Feiyu Yue <yuefyopals@gmail.com>
Brodersen et al. Inferring causal impact using Bayesian structural time-series models. Annals of Applied Statistics, 2015
http://google.github.io/CausalImpact/CausalImpact.html
## For more detail of the package, try ?sportscausal and ?ad_cost