CRTspat: Workflow for Cluster Randomised Trials with Spillover

Design, workflow and statistical analysis of Cluster Randomised Trials of (health) interventions where there may be spillover between the arms (see <>).

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: ggplot2, stats, utils, geepack, MASS, tidyr, magrittr, dplyr, OOR, lme4, sf, Matrix, spatstat.geom, spatstat.random, jagsUI, TSP
Suggests: knitr, rmarkdown, INLA, testthat (≥ 2.0.0)
Published: 2024-02-12
Author: Thomas Smith ORCID iD [aut, cre, cph], Lea Multerer [ctb], Mariah Silkey [ctb]
Maintainer: Thomas Smith <Thomas-a.Smith at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: CRTspat results


Reference manual: CRTspat.pdf
Vignettes: Use Case 01: Algorithmic specification of clusters
Use Case 02: Simulation of trials with geographical spillover
Use Case 03: Estimation of intracluster correlations (ICC) by cluster size
Use Case 04: Estimation of optimal cluster size for a trial with pre-determined buffer width
Use Case 05: Analysis of trials (including methods for analysing spillover)
Use Case 06: Thematic mapping of the geography of a CRT
Use Case 07: Power and sample size calculations allowing for spillover
Use Case 08: Eggs - to fry or scramble?
Use Case 09: Preparation of datasets for 'CRTspat'


Package source: CRTspat_1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CRTspat_1.2.0.tgz, r-oldrel (arm64): CRTspat_1.2.0.tgz, r-release (x86_64): CRTspat_1.2.0.tgz
Old sources: CRTspat archive


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