plogf: The log-F distribution
In stephens999/ashr: Methods for Adaptive Shrinkage, using Empirical Bayes
plogf R Documentation
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.
stephens999/ashr documentation built on May 16, 2024, 3:10 a.m.
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| plogf | R Documentation |
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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