Man pages for floatofmath/resamplingMCP
Resampling graph-based multiple comparison procedures
| adaptive_invnormtest_os | Inverse normal adaptive t-test |
| adaptive_npcombtest_os | adptive NPC test |
| adaptive_perm_test | Adaptive permutation test |
| adaptive_permtest_2s | Compare two-sample adaptive tests |
| adaptive_permtest_os | One-sample adaptive permutation test |
| adaptive_ttest_os | Adaptive t-test |
| all_assignments | All assignments |
| all_reassignments | All combinations of two group assignments |
| clev | Condition level function adaptive t-test |
| clev_twosample | Conditional level of extended two sample t-test |
| closed_pval | adjusted closed test pvalue |
| closed_test | closed test decision |
| closure | Perform a closed test procedure |
| compare_power | Type 1 error |
| cond_dist | Conditional permutations distribution |
| cond_power_rule_norm | Conditional power sample size reassessment rule (z-test) |
| cond_power_rule_t | Conditional power sample size reassessment rule (t-test) |
| contains | Contains i |
| diffmean | Mean of paired differences |
| FLIgmcP | graph based multiple comparsions procedure using permutation... |
| from.binom | Binary vector to decimal number |
| gMCfliP | graph based multiple comparsions procedure using permutation... |
| inverse_normal | Inverse normal combination function |
| join_to_row | Join two matrices by row |
| make_pw_contrasts | Contrasts for many-to-one comparisons |
| meandiff | Difference of means |
| neuroscience | Data from Cutini et al. (2014) |
| normal_CER | z - Test Conditional Error Rate |
| omega | Reference space |
| perm_dist | Conditional permutations distribution |
| perm_test | perform permutation test |
| permutation_CER | Permutation Conditional Error Rate |
| pooled_variance | Pooled variances |
| possum | Positive sum |
| power.z.test | sample size formula one-sample z-test |
| pw_meandiff | Pairwise (many-to-one) mean differences |
| pw_stat | Pairwise (many-to-one) statistics |
| pw_tstat | Pairwise (many-to-one) t-statistics |
| pw_zstat | Pairwise (many-to-one) z-scores |
| random_assignments | Random combinations of two group assignments |
| random_reassignments | Random reassignments to two groups |
| resamplingMCP-package | resampling MCP Fixed sample and adaptive permutation tests... |
| rnorm_hetero | Generate heteroskedastic data |
| rnorm_scont | Generate contaminated normally distributed data |
| rnorm_tcont | Generate contaminated normally distributed data |
| simulate_trials | Simulate trials |
| strat_reassignments | Stagewise two-group assignments |
| sumdiff | Sum of differences |
| tccv | Conditional critical value adaptive t-test |
| t_CER | t - Test Conditional Error Rate |
| to.binom | Convert to binary |
| tstat | t-statistics |
| t_test | t-test p-value |
| type1 | Type 1 error |
| zstat | z-scores |
| z_test | z-test p-value |
