marginal.probability {HighProbability}R Documentation

Proportion of alternative hypotheses that are true

Description

This function estimates the proportion of alternative hypotheses that are true

Usage

        marginal.probability(p.values, min.probability=0.5, max.iteration=10, tolerance=get.marginal.probability.tolerance(), verbose=FALSE)

Arguments

p.values a vector of p-values
min.probability the lowest posterior probability of an alternative hypothesis for it to be considered true.
max.iteration number of iterations if the estimates do not converge.
tolerance the difference in proportion estimates that defines convergence, the default value is 0.005.
verbose if TRUE, additional diagnostics are printed

Details

None.

Value

The return value is a numeric vector of length 1 representing the estimate of the proportion of alternative hypotheses that are true.

Author(s)

David R. Bickel (DavidBickel.66846716@bloglines.com, http://www.davidbickel.com) , Zahra Montazeri (zahra@math.carleton.ca)

References

Bickel, D. R. (2004) "HighProbability determines which alternative hypotheses are highly probable: Genomic applications include detection of differential gene expression," arXiv.org e-print ID q-bio.QM/0402049. Available on-line at http://arxiv.org/abs/q-bio.QM/0402049

See Also

This function is used by alternative.probable and alternative.beneficial.


[Package HighProbability version 2.1 Index]