DiscreteFDR - FDR Based Multiple Testing Procedures with Adaptation for Discrete Tests
Implementations of the multiple testing procedures for discrete tests described in the paper Döhler, Durand and Roquain (2018) "New FDR bounds for discrete and heterogeneous tests" <doi:10.1214/18-EJS1441>. The main procedures of the paper (HSU and HSD), their adaptive counterparts (AHSU and AHSD), and the HBR variant are available and are coded to take as input the results of a test procedure from package 'DiscreteTests', or a set of observed p-values and their discrete support under their nulls. A shortcut function to obtain such p-values and supports is also provided, along with a wrapper allowing to apply discrete procedures directly to data.
Last updated 2 months ago
cpp
5.96 score 3 stars 2 dependents 16 scripts 401 downloadsDiscreteTests - Vectorised Computation of P-Values and Their Supports for Several Discrete Statistical Tests
Provides vectorised functions for computing p-values of various common discrete statistical tests, as described e.g. in Agresti (2002) <doi:10.1002/0471249688>, including their distributions. Exact and approximate computation methods are provided. For exact p-values, several procedures of determining two-sided p-values are included, which are outlined in more detail in Hirji (2006) <doi:10.1201/9781420036190>.
Last updated 4 months ago
4.45 score 3 dependents 35 scripts 587 downloadsDiscreteDatasets - Example Data Sets for Use with Discrete Statistical Tests
Provides several data sets for use with discrete statistical tests and discrete multiple testing procedures. Some of them are also available as a four-column version, so that each row represents a 2x2 table.
Last updated 21 days ago
3.56 score 3 dependents 4 scripts 582 downloadsFDX - False Discovery Exceedance Controlling Multiple Testing Procedures
Multiple testing procedures for heterogeneous and discrete tests as described in Döhler and Roquain (2020) <doi:10.1214/20-EJS1771>. The main algorithms of the paper are available as continuous, discrete and weighted versions. They take as input the results of a test procedure from package 'DiscreteTests', or a set of observed p-values and their discrete support under their nulls. A shortcut function to obtain such p-values and supports is also provided, along with wrappers allowing to apply discrete procedures directly to data.
Last updated 3 months ago
cpp
3.15 score 2 stars 1 scripts 686 downloads