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CRAN: Package jlmerclusterperm

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.

Version: 1.1.4 Depends: R (≥ 3.5) Imports: backports (≥ 1.1.7), cli, generics, JuliaConnectoR, JuliaFormulae, lme4, stats, tools, utils Suggests: broom, broom.mixed, covr, dplyr, eyetrackingR, forcats, future, ggplot2, knitr, MASS, patchwork, readr, rmarkdown, scales, testthat (≥ 3.0.0), tibble Published: 2024-06-30 DOI: 10.32614/CRAN.package.jlmerclusterperm Author: June Choe [aut, cre, cph] Maintainer: June Choe <jchoe001 at gmail.com> BugReports: https://github.com/yjunechoe/jlmerclusterperm/issues License: MIT + file LICENSE URL: https://github.com/yjunechoe/jlmerclusterperm, https://yjunechoe.github.io/jlmerclusterperm/ NeedsCompilation: no SystemRequirements: Julia (>= 1.8) Materials: README NEWS CRAN checks: jlmerclusterperm results Documentation: Downloads: Linking:

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