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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 |
| DOI: | 10.32614/CRAN.package.SPORTSCausal |
| 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 |
| Reference manual: | SPORTSCausal.pdf |
| Package source: | SPORTSCausal_1.0.tar.gz |
| Windows binaries: | r-devel: SPORTSCausal_1.0.zip, r-release: SPORTSCausal_1.0.zip, r-oldrel: SPORTSCausal_1.0.zip |
| macOS binaries: | r-release (arm64): SPORTSCausal_1.0.tgz, r-oldrel (arm64): SPORTSCausal_1.0.tgz, r-release (x86_64): SPORTSCausal_1.0.tgz, r-oldrel (x86_64): SPORTSCausal_1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.