Cluster-Based Permutation Analysis for Densely Sampled Time Data

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Documentation for package ‘jlmerclusterperm’ version 1.1.4

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calculate_clusters_pvalues Calculate bootstrapped p-values of cluster-mass statistics
clusterpermute Conduct a cluster-based permutation test
clusters_are_comparable Calculate bootstrapped p-values of cluster-mass statistics
cluster_permutation_tidiers Tidiers for cluster permutation test objects
compute_timewise_statistics Fit Julia regression models to each time point of a time series data
extract_empirical_clusters Detect largest clusters from a time sequence of predictor statistics
extract_null_cluster_dists Construct a null distribution of cluster-mass statistics
get_rng_seed Interface to the Julia RNG
get_rng_state Interface to the Julia RNG
glance.jlmer_mod Tidier methods for Julia regression models
jlmer Fit a Julia regression model using jlmer specifications
jlmerclusterperm_setup Initial setup for the jlmerclusterperm package
julia_model_tidiers Tidier methods for Julia regression models
julia_progress Set/get options for Julia progress bar
julia_rng Interface to the Julia RNG
julia_setup_ok Check Julia requirements for jlmerclusterperm
make_jlmer_spec Create a specifications object for fitting regression models in Julia
permute_by_predictor Permute data while respecting grouping structure(s) of observations
permute_timewise_statistics Simulate cluster-mass statistics via bootstrapped permutations
reset_rng_state Interface to the Julia RNG
set_rng_seed Interface to the Julia RNG
set_rng_state Interface to the Julia RNG
tidy.empirical_clusters Tidiers for cluster permutation test objects
tidy.jlmer_mod Tidier methods for Julia regression models
tidy.null_cluster_dists Tidiers for cluster permutation test objects
tidy.timewise_statistics Tidiers for cluster permutation test objects
to_jlmer Fit a Julia regression model using lme4 syntax
walk_threshold_steps Test the probability of cluster-mass statistics over a range of threshold values