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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "PITS" in publications use:'
type: software
license: MIT
title: 'PITS: Power of Interrupted Time Series (ITS) Studies'
version: 0.1.0
abstract: 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.
authors:
- family-names: Lorenzo
  given-names: David
  name-particle: de
  email: drdaviddelorenzo@gmail.com
  orcid: https://orcid.org/0000-0003-2042-0961
  affiliation: UCL Great Ormond Street Institute of Child Health
preferred-citation:
  type: article
  title: 'Using Simulations to Estimate the Statistical Power of Interrupted Time
    Series Studies: A Practical Guide for Health Researchers'
  authors:
  - family-names: Lorenzo
    given-names: David
    name-particle: de
    email: drdaviddelorenzo@gmail.com
    orcid: https://orcid.org/0000-0003-2042-0961
    affiliation: UCL Great Ormond Street Institute of Child Health
  - family-names: Cortina-Borja
    given-names: Mario
  - family-names: Heys
    given-names: Michelle
  year: '2026'
  journal: Manuscript in preparation
  notes: DOI to be added on acceptance
repository: https://cran.r-universe.dev
repository-code: https://github.com/drdaviddelorenzo/PITS
commit: d63cf1f779e6250ca03dad4ff4624b12805e9d65
url: https://github.com/drdaviddelorenzo/PITS
date-released: '2026-06-30'
contact:
- family-names: Lorenzo
  given-names: David
  name-particle: de
  email: drdaviddelorenzo@gmail.com
  orcid: https://orcid.org/0000-0003-2042-0961
  affiliation: UCL Great Ormond Street Institute of Child Health
references:
- type: manual
  title: 'PITS: Power of Interrupted Time Series (ITS) Studies'
  authors:
  - family-names: Lorenzo
    given-names: David
    name-particle: de
  year: '2026'
  notes: R package version 0.1.0
  url: https://github.com/drdaviddelorenzo/PITS