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jlmerclusterperm  

Cluster-Based Permutation Analysis for Densely Sampled Time Data
View on CRAN: Click here


Download and install jlmerclusterperm package within the R console
Install from CRAN:
install.packages("jlmerclusterperm")

Install from Github:
library("remotes")
install_github("cran/jlmerclusterperm")

Install by package version:
library("remotes")
install_version("jlmerclusterperm", "1.1.4")



Attach the package and use:
library("jlmerclusterperm")
Maintained by
June Choe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-27
Latest Update: 2024-02-29
Description:
An implementation of fast cluster-based permutation analysis (CPA) for densely-sampled time data developed in Maris & Oostenveld, 2007 . 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.
How to cite:
June Choe (2023). jlmerclusterperm: Cluster-Based Permutation Analysis for Densely Sampled Time Data. R package version 1.1.4, https://cran.r-project.org/web/packages/jlmerclusterperm. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2023-06-27 19:00), 1.0.1 (2023-07-02 22:00), 1.0.2 (2023-07-15 08:30), 1.0.3 (2023-07-20 00:40), 1.0.4 (2023-09-06 11:10), 1.0.5 (2023-09-10 11:10), 1.0.6 (2023-09-19 05:40), 1.1.0 (2023-10-07 08:30), 1.1.1 (2024-02-08 07:40), 1.1.2 (2024-02-17 13:20), 1.1.3 (2024-03-04 20:40)
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