A collection of procedures for analysing, visualising, and managing single-case data. Multiphase and multibaseline designs are supported.
Analysing methods include
- regression models (multilevel, multivariate, bayesian),
- between-case standardized-mean difference,
- overlap indices (including ‘PND’, ‘PEM’, ‘PAND’, ‘NAP’, ‘PET’, ‘IRD’, ‘CDC’),
- Tau-U methods (including meta analysis; baseline corrected tau), and
- randomization tests.
Data preparation functions support outlier detection, handling missing values, scaling, and custom transformations.
An export function helps to generate html, word, and latex tables in a publication friendly style. A shiny app allows to use scan in a graphical userinterface.
More details can be found in the online book ‘Analyzing single-case data with R and scan’, Juergen Wilbert (2026)
https://jazznbass.github.io/scan-Book/.
Installation
You can install the released version of scan from CRAN with:
install.packages("scan")Or the development version from GitHub with:
# install.packages("pak")
pak::pak("jazznbass/scan")