Tool for Phi Delta Analysis of Features (phiDelta)
Analysis of features by phi delta diagrams. In particular, functions for reading data and calculating phi and delta as well as the functionality to plot it. Moreover it is possible to do further analysis on the data by generating rankings. For more information on phi delta diagrams, see also Giuliano Armano (2015) <doi:10.1016/j.ins.2015.07.028>.

Permutation Tests for Time Series Data (permutes)
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 effects begins and ends, and the results can be plotted in various types of heatmap for reporting.

Fast Pseudo Random Number Generators (dqrng)
Several fast random number generators are provided as C++ header only libraries: The PCG family by O’Neill (2014 <https://…/hmc-cs-2014-0905.pdf> ) as well as Xoroshiro128+ and Xoshiro256+ by Blackman and Vigna (2018 <arXiv:1805.01407>). In addition fast functions for generating random numbers according to a uniform, normal and exponential distribution are included. The latter two use the Ziggurat algorithm originally proposed by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>). These functions are exported to R and as a C++ interface and are enabled for use with the 64 bit version of the Mersenne-Twister by Matsumoto and Nishimura (1998 <doi:10.1145/272991.272995>), the default 64 bit generator from the PCG family as well as Xoroshiro128+ and Xoshiro256+.

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