Type: Package
Package: simITS
Title: Analysis via Simulation of Interrupted Time Series (ITS) Data
Version: 0.1.1
Authors@R: 
    c(person(given = "Luke",
             family = "Miratrix",
             role = c("aut", "cre"),
             email = "lmiratrix@g.harvard.edu"),
      person(given = "Brit",
             family = "Henderson",
             role = "ctb",
             email = "Brit.Henderson@mdrc.org"),
      person(given = "Chloe",
             family = "Anderson",
             role = "ctb",
             email = "Chloe.AAnderson@mdrc.org"),
      person(given = "Arnold Ventures", role="fnd"),
      person(given = "MDRC", role="fnd") )
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.
License: GPL-3
Depends: dplyr, R (>= 2.10), rlang
Suggests: arm, ggplot2, knitr, plyr, purrr, rmarkdown, stats, testthat
        (>= 2.1.0), tidyr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-20 13:24:23 UTC; lmiratrix
Author: Luke Miratrix [aut, cre],
  Brit Henderson [ctb],
  Chloe Anderson [ctb],
  Arnold Ventures [fnd],
  MDRC [fnd]
Maintainer: Luke Miratrix <lmiratrix@g.harvard.edu>
Repository: CRAN
Date/Publication: 2020-05-20 13:50:02 UTC
Built: R 4.6.0; ; 2026-04-29 08:02:35 UTC; unix
