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PITS  

Power of Interrupted Time Series (ITS) Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PITS", "0.1.0")



Attach the package and use:
library("PITS")
Maintained by
David de Lorenzo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-30
Latest Update: 2026-06-30
Description:
Provides tools for estimating the statistical power of Interrupted Time Series (ITS) designs, with a focus on healthcare applications. The package supports prospective power calculations before a study begins, and retrospective assessments of whether a completed study was adequately powered. It includes functions to estimate nuisance parameters (baseline, residual standard deviation, autocorrelation) from data observed before the intervention, and to estimate power via Monte Carlo simulation for single-site and multi-site designs. Utility functions for design optimisation sweeps and publication- ready plots are also provided.
How to cite:
David de Lorenzo (2026). PITS: Power of Interrupted Time Series (ITS) Studies. R package version 0.1.0, https://cran.r-project.org/web/packages/PITS. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited PITS R package
View PITS citation profile
Other R packages that PITS depends, imports, suggests or enhances
Complete documentation for PITS
Functions, R codes and Examples using the PITS R package
Full PITS package functions and examples
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