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simITS  

Analysis via Simulation of Interrupted Time Series (ITS) Data
View on CRAN: Click here


Download and install simITS package within the R console
Install from CRAN:
install.packages("simITS")

Install from Github:
library("remotes")
install_github("cran/simITS")

Install by package version:
library("remotes")
install_version("simITS", "0.1.1")



Attach the package and use:
library("simITS")
Maintained by
Luke Miratrix
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-28
Latest Update: 2020-05-20
Description:
Uses simulation to create prediction intervals for post-policy outcomes in interrupted time series (ITS) designs, following Miratrix (2020) <doi:10.48550/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.
How to cite:
Luke Miratrix (2020). simITS: Analysis via Simulation of Interrupted Time Series (ITS) Data. R package version 0.1.1, https://cran.r-project.org/web/packages/simITS
Previous versions and publish date:
0.1.0 (2020-04-28 11:40)
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