Function reference • jlmerclusterperm

Julia setup

Start a Julia session set up for jlmerclusterperm

julia_setup_ok(): Check Julia requirements for jlmerclusterperm

jlmerclusterperm_setup(): Initial setup for the jlmerclusterperm package

Interface to Julia regression modelling

Making a jlmer_spec object and fitting models in Julia

make_jlmer_spec(): Create a specifications object for fitting regression models in Julia

jlmer(): Fit a Julia regression model using jlmer specifications

to_jlmer(): Fit a Julia regression model using lme4 syntax

Cluster-based permutation analysis

Empirical clusters

Detect empirical clusters from the observed data using timewise regression models

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

Null distribution

Construct a null distribution of cluster-mass statistics via bootstrapped permutation

permute_by_predictor(): Permute data while respecting grouping structure(s) of observations

permute_timewise_statistics(): Simulate cluster-mass statistics via bootstrapped permutations

extract_null_cluster_dists(): Construct a null distribution of cluster-mass statistics

Significance test

Test the probability of the observed cluster-mass statistic vs. null distribution

calculate_clusters_pvalues() clusters_are_comparable(): Calculate bootstrapped p-values of cluster-mass statistics

walk_threshold_steps(): Test the probability of cluster-mass statistics over a range of threshold values

All in one go

clusterpermute(): Conduct a cluster-based permutation test

Tidiers

Methods for collecting jlmerclusterperm objects as tidy data

tidy(<timewise_statistics>) tidy(<empirical_clusters>) tidy(<null_cluster_dists>): Tidiers for cluster permutation test objects

tidy(<jlmer_mod>) glance(<jlmer_mod>): Tidier methods for Julia regression models

Interop utilities

Set and get Julia options from R

set_rng_state() reset_rng_state() get_rng_state() set_rng_seed() get_rng_seed(): Interface to the Julia RNG

julia_progress(): Set/get options for Julia progress bar