pdt: Permutation Distancing Test

Permutation (randomisation) test for single-case phase design data with two phases (e.g., pre- and post-treatment). Correction for dependency of observations is done through stepwise resampling the time series while varying the distance between observations. The required distance 0,1,2,3.. is determined based on repeated dependency testing while stepwise increasing the distance. In preparation: Vroegindeweij et al. "A Permutation distancing test for single-case observational AB phase design data: A Monte Carlo simulation study".

Getting started

Package details

AuthorJan Houtveen [aut, cre], Anouk Vroegindeweij [ctb]
MaintainerJan Houtveen <janhoutveen@gmail.com>
LicenseGPL-3
Version0.0.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pdt")

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pdt documentation built on Jan. 13, 2023, 1:13 a.m.