fbumLL: Calculate log likelihood of BUM model
In BioNet: Routines for the functional analysis of biological networks
Description
Usage
Arguments
Value
Author(s)
Examples
Description
The function calculates the log likelihood of the BUM model.
Usage
1
fbumLL(parms, x)
Arguments
parms
Vector of parameters; lambda and a.
x
Numerical vector of p-values.
Value
Log likelihood.
Author(s)
Marcus Dittrich
Examples
1
2
3
4
data(pvaluesExample)
pvals <- pvaluesExample[,1]
bum.mle <- fitBumModel(pvals, plot=FALSE)
fbumLL(parms=c(bum.mle$lambda, bum.mle$a), x=pvals)
BioNet documentation built on Nov. 8, 2020, 5:48 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
The function calculates the log likelihood of the BUM model.
Usage
1 | fbumLL(parms, x)
|
Arguments
parms |
Vector of parameters; lambda and a. |
x |
Numerical vector of p-values. |
Value
Log likelihood.
Author(s)
Marcus Dittrich
Examples
1 2 3 4 | data(pvaluesExample)
pvals <- pvaluesExample[,1]
bum.mle <- fitBumModel(pvals, plot=FALSE)
fbumLL(parms=c(bum.mle$lambda, bum.mle$a), x=pvals)
|
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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