Man pages for diff-priv-ht/nonpmRegPkg
Implementation of Functions for "Test of Tests"
| Barrientos_power | Barrientos power |
| bound_power | Bound on test's power |
| Calculate_Z | Privitize binomial data |
| Canonne_power | Canonne Power |
| Canonne_test | Canonne Implementation |
| cdf_Barr | Barreintos reference distribution |
| compute_binom_power | Power of private binomial test |
| DP_Binom_test_oneside | One-sided private binomial hypothesis test. |
| DP_Binom_test_twoside | Two-sided private binomial hypothesis test. |
| f_eps | Function for parameter tuning in Pena-Barrientos |
| find_alpha0 | Function for parameter tuning in Pena-Barrientos |
| find_eps | Function for parameter tuning in Pena-Barrientos |
| find_k_alpha0 | Function for parameter tuning in Pena-Barrientos |
| find_p | Function for parameter tuning in Pena-Barrientos |
| logistic_power | Test of Tests Logistic Power |
| logistic_p_val | Test of tests logistic p-value |
| optimize_power_ANOVA | Optimize the parameters of our test for ANOVA data |
| optimize_power_norm | Optimize the parameters of our test for multivariate normal... |
| PB_power_ANOVA | Exact power of PB for an ANOVA |
| PB_power_norm | Exact power of PB for a normal test |
| pipe | Pipe operator |
| pow | Function for parameter tuning in Pena-Barrientos |
| practical_pars_ANOVA | Find practical values of the parameters for an ANOVA |
| practical_pars_norm | Find practical values of the parameters for a normal test |
| practical_power_ANOVA | Find the power of our test for an ANOVA in a practical... |
| practical_power_norm | Find the power of our test for multivariate normal data in a... |
| public_power_lm | Linear regression public power |
| public_power_logistic | Logistic regression public power |
| public_power_normal | Normal test public power |
| p_val_Barr | Barrientos p-value |
| rtulap | Random draw from Tulap distribution. |
| theoretical_power | Theoretical power of our test |
| tulap_cdf | CDF of the Tulap distribution. |
