SPORTSCausal: Spillover Time Series Causal Inference
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>.
| Version: |
1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
CausalImpact, keras, stats, graphics, grDevices |
| Published: |
2021-03-30 |
| Author: |
Zihao Zheng and Feiyu Yue |
| Maintainer: |
Feiyu Yue <yuefyopals at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| In views: |
CausalInference |
| CRAN checks: |
SPORTSCausal results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=SPORTSCausal
to link to this page.