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年03月02日4>. 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.

Version: 1.1.4
Depends: R (≥ 3.5)
Imports: backports (≥ 1.1.7), cli, generics, JuliaConnectoR, JuliaFormulae, lme4, stats, tools, utils
Published: 2024年06月30日
Author: June Choe ORCID iD [aut, cre, cph]
Maintainer: June Choe <jchoe001 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
SystemRequirements: Julia (>= 1.8)
Materials: README, NEWS

Documentation:

Downloads:

Windows binaries: r-devel: jlmerclusterperm_1.1.4.zip, r-release: jlmerclusterperm_1.1.4.zip, r-oldrel: jlmerclusterperm_1.1.4.zip
macOS binaries: r-release (arm64): jlmerclusterperm_1.1.4.tgz, r-oldrel (arm64): jlmerclusterperm_1.1.4.tgz, r-release (x86_64): jlmerclusterperm_1.1.4.tgz, r-oldrel (x86_64): jlmerclusterperm_1.1.4.tgz

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