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 |