| aovperm | P-values based on permutation tests for ANOVA and repeated... | 
| as.Pmat | Method to convert into 'Pmat' object. | 
| attentionshifting_design | Datatset of the design for the data attentionshifting_signal | 
| attentionshifting_signal | Dataset containing the event-related potential of the... | 
| clusterlm | Cluster-mass test for longitudinal data | 
| compute_clusterdepth | Cluster-depth correction | 
| compute_clusterdepth_head | Cluster-depth correction (from the head only) | 
| compute_clustermass | Clustermass test correction | 
| compute_maxT | The max-T correction | 
| compute_minP | The min-P correction | 
| compute_stepdownmaxT | Step-down version of the max-T correction | 
| compute_tfce | Threshold-Free Cluster-Enhancement correction | 
| compute_troendle | The Troendle's correction | 
| emergencycost | Dataset of cost of emergency patients. | 
| get_cluster | Get the ID of the cluster on a distribution matrix | 
| jpah2016 | Dataset of a control study in psychology. | 
| lmperm | Permutation tests for regression parameters | 
| plot.clusterlm | Plot cluster or parameters. | 
| plot.lmperm | Plot method for class '"lmperm"'. | 
| Pmat | Create a set of permutations/signflips. | 
| Pmat_product | Multiplies a vector with a Pmat object | 
| print.clusterlm | Print 'clusterlm' object. | 
| summary.clusterlm | Summarize of a 'clusterlm' object. | 
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