Methods for Pooling P-Values from (Dependent) Tests

Functions for pooling/combining the results (i.e., p-values) from (dependent) hypothesis tests. Included are Fishers method, Stouffers method, the inverse chi-square method, the Bonferroni method, Tippetts method, and the binomial test. Each method can be adjusted based on an estimate of the effective number of tests or using empirically derived null distribution using pseudo replicates. For Fishers, Stouffers, and the inverse chi-square method, direct generalizations based on multivariate theory are also available (leading to Browns method, Strube's method, and the generalized inverse chi-square method). An introduction can be found in Cinar and Viechtbauer (2022) <doi:10.18637/jss.v101.i01>.