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jlmerclusterperm: Cluster-Based Permutation Analysis for Densely Sampled Time Data
An implementation of fast cluster-based permutation analysis (CPA) for densely-sampled time data developed in Maris & Oostenveld, 2007 <doi:10.1016/j.jneumeth.2007.03.024>. Supports (generalized, mixed-effects) regression models for the calculation of timewise statistics. Provides both a wholesale and a piecemeal interface to the CPA procedure with an emphasis on interpretability and diagnostics. Integrates 'Julia' libraries 'MixedModels.jl' and 'GLM.jl' for performance improvements, with additional functionalities for interfacing with 'Julia' from 'R' powered by the 'JuliaConnectoR' package.
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Package details |
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| Author | June Choe [aut, cre, cph] (<https://orcid.org/0000-0002-0701-921X>) |
| Maintainer | June Choe <jchoe001@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.1.4 |
| URL | https://github.com/yjunechoe/jlmerclusterperm https://yjunechoe.github.io/jlmerclusterperm/ |
| Package repository | View on CRAN |
| Installation |
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