| Name | Version | Summary | date |
| causal-testing-framework |
7.0.0 |
A framework for causal testing using causal directed acyclic graphs. |
2024-04-30 15:43:58 |
| tigramite |
5.2.5.1 |
Tigramite causal inference for time series |
2024-02-29 14:42:43 |
| eliater |
0.0.2 |
A high level, end-to-end causal inference workflow. |
2024-01-26 08:41:55 |
| differences |
0.2.0 |
difference-in-differences estimation and inference in Python |
2023-12-10 01:21:41 |
| csdid |
0.2.5 |
Difference in Difference in Python |
2023-09-04 20:14:16 |
| pqp |
0.3.5 |
Subroutines for structural causal modeling |
2023-07-15 21:33:57 |
| pyparcs |
0.2.0 |
A simulation package for causal methods |
2023-07-12 20:13:37 |
| bwd |
0.1.4 |
A clean implementation of the Balancing Walk Design for online experimental design from Arbour, Dimmery, Mai and Rao (2022) |
2023-07-12 13:44:00 |
| tscausalinference |
0.2.0.9 |
Bootstrap random walk simulations methodoly applied on top of Facebook Prophet to analyse causal effects |
2023-04-17 13:23:42 |
| opmatch |
1.0.1 |
A leightweight package to perform optimal case-control matching. |
2022-12-03 17:11:22 |