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) <https://jazznbass.github.io/scan-Book/>.

Package details

AuthorJuergen Wilbert [cre, aut] (<https://orcid.org/0000-0002-8392-2873>), Timo Lueke [aut] (<https://orcid.org/0000-0002-2603-7341>)
MaintainerJuergen Wilbert <juergen.wilbert@uni-potsdam.de>
LicenseGPL (>= 3)
Version0.60.0
URL https://github.com/jazznbass/scan/ https://jazznbass.github.io/scan-Book/ https://github.com/jazznbass/scan
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("scan")

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scan documentation built on Aug. 8, 2023, 5:07 p.m.