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, tauU, baseline corrected tau), and randomization tests. Data preparation functions support outlier detection, handling missing values, scaling, truncating, rank transformation, and smoothing. An exporting function help to generate html and latex tables in a publication friendly style. More details can be found at < https://jazznbass.github.io/scan-Book/>.


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install.packages("scan")

0.40 by Juergen Wilbert, a year ago


https://r-forge.r-project.org/projects/scan/, https://jazznbass.github.io/scan-Book/index.html


Browse source code at https://github.com/cran/scan


Authors: Juergen Wilbert [aut, cre] , Timo Lueke [aut]


Documentation:   PDF Manual  


GPL license


Imports stats, nlme, utils, methods, graphics, car, MASS, knitr, kableExtra, readxl, mblm


See at CRAN