Uses the Hochberg procedure to control the familywise error rate assuming that hypothesis tests are independent. This is more powerful than Holm-Bonferroni correction, but requires the independence assumption.
An array of adjusted P-values with indices corresponding to the order of the P-values in the input data.
References: Hochberg, Y. (1988). A sharper Bonferroni procedure for multiple tests of significance. Biometrika, 75, 800-803.
See Implementation
Uses the Hochberg procedure to control the familywise error rate assuming that hypothesis tests are independent. This is more powerful than Holm-Bonferroni correction, but requires the independence assumption.