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simITS
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]
[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. Accessed 21 Apr. 2025.
Previous versions and publish date:
0.1.0 (2020-04-28 11:40)
Other packages that cited simITS R package
View simITS citation profile
Other R packages that simITS depends,
imports, suggests or enhances
Complete documentation for simITS
Functions, R codes and Examples using
the simITS R package
Some associated functions: add_lagged_covariates . adjust_data . aggregate_data . aggregate_simulation_results . calculate_average_outcome . calculate_group_weights . extrapolate_model . fit_model_default . generate_fake_data . generate_fake_grouped_data . make_envelope_graph . make_fit_season_model . make_many_predictions . make_model_smoother . meck_subgroup . mecklenberg . newjersey . process_outcome_model . simITS . smooth_residuals . smooth_series .
Some associated R codes: ITSModelingCode.R . aggregate_simulation_results.R . data.R . make_envelope_graph.R . post_stratified_ITS.R . process_outcome_model.R . season_model_functions.R . simITS.R . simulation_code.R . Full simITS package functions and examples
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