Class "EBMTP", classes and methods for empirical Bayes multiple testing procedure output
A function to perform empirical Bayes resampling-based multiple hypothesis testing
Functions for generating guessed sets of true null hypotheses in empirical Bayes resampling-based multiple hypothesis testing
Class "MTP", classes and methods for multiple testing procedure output
Methods for MTP and EBMTP objects in Package 'multtest'
A function to perform resampling-based multiple hypothesis testing
Non-parametric bootstrap resampling function in package 'multtest'
Function to estimate a test statistics joint null distribution for t-statistics via the vector influence curve
Function to compute augmentation MTP adjusted p-values
Function to compute indices for ordering hypotheses in Package 'multtest'
Gene expression dataset from Golub et al. (1999)
Functions to create test statistic closures and apply them to data
Internal multtest functions and variables
Step-down maxT and minP multiple testing procedures
Plotting results from multiple testing procedures
Adjusted p-values for simple multiple testing procedures
Identity and number of rejected hypotheses
Permutation distribution of test statistics and raw (unadjusted) p-values
Computing test statistics for each row of a data frame
Procedures to perform multiple testing
Weighted version of the apply function