| calc_perm_p_value | Calculation of permutation p-value |
| check_test_input | Checks for input arguments |
| compute_results_asymptotic | Test decision for asymptotic versions of HL1-, HL2-, and... |
| compute_results_finite | Finite-sample test decision for HL1-, HL2-, and MED-tests |
| hl1_test | Two-sample location tests based on one-sample Hodges-Lehmann... |
| hl2_test | Two-sample location tests based on two-sample Hodges-Lehmann... |
| hodges_lehmann | One-sample Hodges-Lehmann estimator |
| hodges_lehmann_2sample | Two-sample Hodges-Lehmann estimator |
| med_test | Two-sample location tests based on the sample median |
| m_est | M-estimator of location |
| m_est_perm_distribution | Permutation distribution for M-statistics |
| m_test | Two sample location test based on M-estimators |
| m_test_statistic | Test statistics for the M-tests |
| perm_distribution | Permutation distribution for robust test statistics |
| preprocess_data | Preprocess data for the robust two sample tests |
| rob_perm_statistic | Robust test statistics based on robust location estimators |
| rob_scale | Robust scale estimators based on median absolute deviation |
| select_method | Select principle for computing null distribution |
| trim_mean | Trimmed mean |
| trimmed_t | Test statistic for the two-sample trimmed t-test (Yuen's... |
| trimmed_test | Two-sample trimmed t-test (Yuen's t-Test) |
| win_mean | Winsorized mean |
| win_var | Winsorized variance |
| wobble | Add random noise to remove ties |
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