Package: jlmerclusterperm 1.1.4
![](https://github.com/yjunechoe/jlmerclusterperm/raw/HEAD/man/figures/logo.png)
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.
Authors:
jlmerclusterperm_1.1.4.tar.gz
jlmerclusterperm_1.1.4.zip(r-4.5)jlmerclusterperm_1.1.4.zip(r-4.4)jlmerclusterperm_1.1.4.zip(r-4.3)
jlmerclusterperm_1.1.4.tgz(r-4.4-any)jlmerclusterperm_1.1.3.tgz(r-4.3-any)
jlmerclusterperm_1.1.4.tar.gz(r-4.5-noble)jlmerclusterperm_1.1.4.tar.gz(r-4.4-noble)
jlmerclusterperm_1.1.4.tgz(r-4.4-emscripten)jlmerclusterperm_1.1.4.tgz(r-4.3-emscripten)
jlmerclusterperm.pdf |jlmerclusterperm.html✨
jlmerclusterperm/json (API)
NEWS
# Install jlmerclusterperm in R: |
install.packages('jlmerclusterperm', repos = c('https://yjunechoe.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yjunechoe/jlmerclusterperm/issues
cluster-based-permutation-testmixed-effects-modelstimeseries
Last updated 3 days agofrom:c8bb2f2fd0f6ce362ba8aaceed2f1bfc52009eca
Exports:calculate_clusters_pvaluesclusterpermuteclusters_are_comparablecompute_timewise_statisticsextract_empirical_clustersextract_null_cluster_distsget_rng_seedget_rng_stateglancejlmerjlmerclusterperm_setupjulia_progressjulia_setup_okmake_jlmer_specpermute_by_predictorpermute_timewise_statisticsreset_rng_stateset_rng_seedset_rng_statestopJuliatidyto_jlmerwalk_threshold_steps
Dependencies:backportsbootcligenericsJuliaConnectoRJuliaFormulaelatticelme4MASSMatrixminqanlmenloptrRcppRcppEigenrrapply