ashr: plogf – R documentation

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plogf

The log-F distribution

Description

Distribution function for the log-F distribution with df1 and df2 degrees of freedom (and optional non-centrality parameter ncp).

Usage

plogf(q, df1, df2, ncp, lower.tail = TRUE, log.p = FALSE)

Arguments

`q`	vector of quantiles
`df1, df2`	degrees of freedom
`ncp`	non-centrality parameter. If omitted the central F is assumed.
`lower.tail`	logical; if TRUE (default), probabilities are P[X <= x], otherwise, P[X > x].
`log.p`	logical; if TRUE, probabilities p are given as log(p).

Value

The distribution function.

ashr

Methods for Adaptive Shrinkage, using Empirical Bayes

v2.2-47

GPL (>= 3)

Authors

Matthew Stephens [aut], Peter Carbonetto [aut, cre], Chaoxing Dai [ctb], David Gerard [aut], Mengyin Lu [aut], Lei Sun [aut], Jason Willwerscheid [aut], Nan Xiao [aut], Mazon Zeng [ctb]

Initial release

2020-02-19