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: |
1.1.3 |
| Depends: |
R (≥ 3.5) |
| Imports: |
backports (≥ 1.1.7), cli, generics, JuliaConnectoR, 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: |
2024-03-04 |
| 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 |