harmonicmeanp: Harmonic Mean p-Values and Model Averaging by Mean Maximum Likelihood

The harmonic mean p-value (HMP) test simply and instantly combines p-values and corrects for multiple testing while controlling the family-wise error rate in a way that is more powerful than common alternatives including Bonferroni and Simes procedures, more stringent than controlling the false discovery rate, and is robust to positive correlations between tests and unequal weights. It is a multi-level test in the sense that a superset of one or more significant tests is almost certain to be significant and conversely when the superset is non-significant, the constituent tests are almost certain to be non-significant. It is based on MAMML (model averaging by mean maximum likelihood), a frequentist analogue to Bayesian model averaging, and is theoretically grounded in generalized central limit theorem.

Version: 1.0
Depends: FMStable
Published: 2017-07-19
Author: Daniel J. Wilson
Maintainer: Daniel Wilson <hmp.R.package at gmail.com>
License: Unlimited
NeedsCompilation: no
CRAN checks: harmonicmeanp results

Downloads:

Reference manual: harmonicmeanp.pdf
Package source: harmonicmeanp_1.0.tar.gz
Windows binaries: r-devel: harmonicmeanp_1.0.zip, r-release: harmonicmeanp_1.0.zip, r-oldrel: harmonicmeanp_1.0.zip
OS X El Capitan binaries: r-release: harmonicmeanp_1.0.tgz
OS X Mavericks binaries: r-oldrel: harmonicmeanp_1.0.tgz

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