DiscreteFWER-package: FWER-Based Multiple Testing Procedures with Adaptation for...

In DiscreteFWER: FWER-Based Multiple Testing Procedures with Adaptation for Discrete Tests

FWER-Based Multiple Testing Procedures with Adaptation for Discrete Tests

Description

This package implements adaptions for discrete tests of the Bonferroni, Holm, Hochberg and Šidák procedures for control of the family-wise error rate (FWER).

Details

The main function discrete_FWER() makes all four procedures available to the user. DBonferroni(), DHolm(), DHochberg() and DSidak() are wrapper functions that enable the user to access them directly. Their main parameters are either a DiscreteTestResults object from package DiscreteTests or a vector of raw observed p-values and a list whose elements are the discrete supports of the CDFs of the p-values.

The function direct_discrete_FWER()is a wrapper for DiscreteFDR::generate.pvalues() and discrete_FWER(), which applies discrete procedures directly to data.

Author(s)

Maintainer: Florian Junge [e-mail] (ORCID) [contributor]

Authors:

• Sebastian Döhler [e-mail] (ORCID) [contributor]

References

Döhler, S. (2010). Validation of credit default probabilities using multiple-testing procedures. Journal of Risk Model Validation, 4(4), 59-92. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.21314/JRMV.2010.062")}

Zhu, Y., & Guo, W. (2019). Family-Wise Error Rate Controlling Procedures for Discrete Data. Statistics in Biopharmaceutical Research, 12(1), 117-128. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/19466315.2019.1654912")}

See Also

Useful links:

• https://github.com/DISOhda/DiscreteFWER

• Report bugs at https://github.com/DISOhda/DiscreteFWER/issues

DiscreteFWER documentation built on April 3, 2025, 9:27 p.m.