| aovperm | P-values based on permutation tests for ANOVA and repeated measures ANOVA designs. |
| 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 electrod O1 of a control experiment. |
| 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. |
| 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. |