simITS

Description

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.

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Maintainer: ‘Luke Miratrix <lmiratrix@g.harvard.edu>’

The Description field contains
  <arXiv:2002.05746>. This package provides methods for fitting ITS
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Maintainer: ‘Luke Miratrix <lmiratrix@g.harvard.edu>’

The Description field contains
  <arXiv:2002.05746>. This package provides methods for fitting ITS
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

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Maintainer: ‘Luke Miratrix <lmiratrix@g.harvard.edu>’

The Description field contains
  <arXiv:2002.05746>. This package provides methods for fitting ITS
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Maintainer: ‘Luke Miratrix <lmiratrix@g.harvard.edu>’

The Description field contains
  <arXiv:2002.05746>. This package provides methods for fitting ITS
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

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