dlogf: The log-F distribution
In ashr: Methods for Adaptive Shrinkage, using Empirical Bayes
dlogf R Documentation
The log-F distribution
Description
Density function for the log-F distribution with df1 and df2
degrees of freedom (and optional non-centrality parameter ncp).
Usage
dlogf(x, df1, df2, ncp, log = FALSE)
Arguments
x
vector of quantiles
df1
degrees of freedom
df2
degrees of freedom
ncp
non-centrality parameter. If omitted the central F is assumed.
log
logical; if TRUE, probabilities p are given as log(p).
Value
The density function.
ashr documentation built on Aug. 22, 2023, 1:07 a.m.
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| dlogf | R Documentation |
The log-F distribution
Description
Density function for the log-F distribution with df1 and df2
degrees of freedom (and optional non-centrality parameter ncp).
Usage
dlogf(x, df1, df2, ncp, log = FALSE)
Arguments
x |
vector of quantiles |
df1 |
degrees of freedom |
df2 |
degrees of freedom |
ncp |
non-centrality parameter. If omitted the central F is assumed. |
log |
logical; if TRUE, probabilities p are given as log(p). |
Value
The density 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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