modelcomparison: get.aic, get.bic
In ddepn: Dynamic Deterministic Effects Propagation Networks: Infer signalling networks for timecourse RPPA data.
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Model comparison scores incorporating the complexity of the model.
Usage
1
2
Arguments
phi
Adjacency matrix.
L
Likelihood.
n
Number of data points.
Details
TODO
Value
The score.
Author(s)
Christian Bender
Examples
1
2
3
##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
ddepn documentation built on May 2, 2019, 4:42 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Model comparison scores incorporating the complexity of the model.
Usage
1 2 |
Arguments
phi |
Adjacency matrix. |
L |
Likelihood. |
n |
Number of data points. |
Details
TODO
Value
The score.
Author(s)
Christian Bender
Examples
1 2 3 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
|
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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