scan: Single-Case Data Analyses for Single and Multiple Baseline Designs

A collection of procedures for analysing, visualising, and managing single-case data. These include piecewise linear regression models, multilevel models, overlap indices ('PND', 'PEM', 'PAND', 'PET', 'tau-u', 'baseline corrected tau', 'CDC'), and randomization tests. Data preparation functions support outlier detection, handling missing values, scaling, truncation, rank transformation, and smoothing. An export function helps to generate html and latex tables in a publication friendly style. More details can be found in the online book 'Analyzing single-case data with R and scan', Juergen Wilbert (2023) <>.

Version: 0.61.0
Depends: R (≥ 3.5.0)
Imports: stats, nlme, utils, methods, graphics, car, gt, knitr, kableExtra, readxl, mblm, magrittr
Suggests: testthat (≥ 3.0.0), shiny, yaml, scplot
Published: 2024-07-01
DOI: 10.32614/CRAN.package.scan
Author: Juergen Wilbert ORCID iD [cre, aut], Timo Lueke ORCID iD [aut]
Maintainer: Juergen Wilbert <juergen.wilbert at>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: scan citation info
Materials: README NEWS
CRAN checks: scan results


Reference manual: scan.pdf


Package source: scan_0.61.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): scan_0.61.0.tgz, r-oldrel (arm64): scan_0.61.0.tgz, r-release (x86_64): scan_0.61.0.tgz, r-oldrel (x86_64): scan_0.61.0.tgz
Old sources: scan archive

Reverse dependencies:

Reverse imports: scplot


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