| 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 |