CausalImpact
Inferring Causal Effects using Bayesian Structural Time-Series Models
Implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>. See the package documentation on GitHub <https://google.github.io/CausalImpact/> to get started.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4.1 |
rolling linux/jammy R-4.5 | CausalImpact_1.4.1.tar.gz |
440.4 KiB |
1.4.1 |
rolling linux/noble R-4.5 | CausalImpact_1.4.1.tar.gz |
440.2 KiB |
1.4.1 |
rolling source/ R- | CausalImpact_1.4.1.tar.gz |
378.1 KiB |
1.4.1 |
latest linux/jammy R-4.5 | CausalImpact_1.4.1.tar.gz |
440.4 KiB |
1.4.1 |
latest linux/noble R-4.5 | CausalImpact_1.4.1.tar.gz |
440.2 KiB |
1.4.1 |
latest source/ R- | CausalImpact_1.4.1.tar.gz |
378.1 KiB |
1.4.1 |
2026-04-26 source/ R- | CausalImpact_1.4.1.tar.gz |
378.1 KiB |
1.4.1 |
2026-04-23 source/ R- | CausalImpact_1.4.1.tar.gz |
378.1 KiB |
1.4.1 |
2026-04-09 windows/windows R-4.5 | CausalImpact_1.4.1.zip |
439.8 KiB |
1.3.0 |
2025-04-20 source/ R- | CausalImpact_1.3.0.tar.gz |
538.7 KiB |