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".


Reference manual

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install.packages("pdt")

0.0.2 by Jan Houtveen, 4 years ago


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


Authors: Jan Houtveen [aut, cre] , Anouk Vroegindeweij [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports stats, graphics


See at CRAN