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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.

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 ORCID iD [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:

Reference manual: jlmerclusterperm.pdf
Vignettes: Introduction to jlmerclusterperm

Downloads:

Package source: jlmerclusterperm_1.1.4.tar.gz
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
Old sources: jlmerclusterperm archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.