simITS
Analysis via Simulation of Interrupted Time Series (ITS) Data
Uses simulation to create prediction intervals for post-policy outcomes in interrupted time series (ITS) designs, following Miratrix (2020) <arXiv:2002.05746>. This package provides methods for fitting ITS models with lagged outcomes and variables to account for temporal dependencies. It then conducts inference via simulation, simulating a set of plausible counterfactual post-policy series to compare to the observed post-policy series. This package also provides methods to visualize such data, and also to incorporate seasonality models and smoothing and aggregation/summarization. This work partially funded by Arnold Ventures in collaboration with MDRC.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | simITS_0.1.1.tar.gz |
330.5 KiB |
0.1.1 |
rolling linux/noble R-4.5 | simITS_0.1.1.tar.gz |
330.2 KiB |
0.1.1 |
rolling source/ R- | simITS_0.1.1.tar.gz |
269.1 KiB |
0.1.1 |
latest linux/jammy R-4.5 | simITS_0.1.1.tar.gz |
330.5 KiB |
0.1.1 |
latest linux/noble R-4.5 | simITS_0.1.1.tar.gz |
330.2 KiB |
0.1.1 |
latest source/ R- | simITS_0.1.1.tar.gz |
269.1 KiB |
0.1.1 |
2026-04-26 source/ R- | simITS_0.1.1.tar.gz |
269.1 KiB |
0.1.1 |
2026-04-23 source/ R- | simITS_0.1.1.tar.gz |
269.1 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | simITS_0.1.1.zip |
333.7 KiB |
0.1.1 |
2025-04-20 source/ R- | simITS_0.1.1.tar.gz |
269.1 KiB |