permutes
Permutation Tests for Time Series Data
Helps you determine the analysis window to use when analyzing densely-sampled time-series data, such as EEG data, using permutation testing (Maris & Oostenveld, 2007) <doi:10.1016/j.jneumeth.2007.03.024>. These permutation tests can help identify the timepoints where significance of an effect begins and ends, and the results can be plotted in various types of heatmap for reporting. Mixed-effects models are supported using an implementation of the approach by Lee & Braun (2012) <doi:10.1111/j.1541-0420.2011.01675.x>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.8 |
rolling linux/jammy R-4.5 | permutes_2.8.tar.gz |
2.9 MiB |
2.8 |
rolling linux/noble R-4.5 | permutes_2.8.tar.gz |
2.9 MiB |
2.8 |
rolling source/ R- | permutes_2.8.tar.gz |
2.2 MiB |
2.8 |
latest linux/jammy R-4.5 | permutes_2.8.tar.gz |
2.9 MiB |
2.8 |
latest linux/noble R-4.5 | permutes_2.8.tar.gz |
2.9 MiB |
2.8 |
latest source/ R- | permutes_2.8.tar.gz |
2.2 MiB |
2.8 |
2026-04-26 source/ R- | permutes_2.8.tar.gz |
2.2 MiB |
2.8 |
2026-04-23 source/ R- | permutes_2.8.tar.gz |
2.2 MiB |
2.8 |
2026-04-09 windows/windows R-4.5 | permutes_2.8.zip |
2.9 MiB |
2.8 |
2025-04-20 source/ R- | permutes_2.8.tar.gz |
2.2 MiB |