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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".
| Version: | 0.0.2 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, graphics |
| Published: | 2023-01-12 |
| DOI: | 10.32614/CRAN.package.pdt |
| Author: | Jan Houtveen [aut, cre], Anouk Vroegindeweij [ctb] |
| Maintainer: | Jan Houtveen <janhoutveen at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | NEWS |
| CRAN checks: | pdt results |
| Reference manual: | pdt.pdf |
| Package source: | pdt_0.0.2.tar.gz |
| Windows binaries: | r-devel: pdt_0.0.2.zip, r-release: pdt_0.0.2.zip, r-oldrel: pdt_0.0.2.zip |
| macOS binaries: | r-release (arm64): pdt_0.0.2.tgz, r-oldrel (arm64): pdt_0.0.2.tgz, r-release (x86_64): pdt_0.0.2.tgz, r-oldrel (x86_64): pdt_0.0.2.tgz |
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