mcmc_move: mcmc_move - Perform MCMC step
In ddepn: Dynamic Deterministic Effects Propagation Networks: Infer signalling networks for timecourse RPPA data.
Description
Usage
Arguments
Details
Value
Note
Author(s)
References
See Also
Examples
Description
One step in an MCMC sampling. Changes exactly one edge in the actual network.
Usage
1
Arguments
bestmodel
The current model.
type
String: The type of the move. One in addactivation, addinhibition, delete, reverse and switchtype.
Details
TODO
Value
TODO
Note
TODO
Author(s)
Christian Bender
References
TODO
See Also
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 Note Author(s) References See Also Examples
Description
One step in an MCMC sampling. Changes exactly one edge in the actual network.
Usage
1 |
Arguments
bestmodel |
The current model. |
type |
String: The type of the move. One in addactivation, addinhibition, delete, reverse and switchtype. |
Details
TODO
Value
TODO
Note
TODO
Author(s)
Christian Bender
References
TODO
See Also
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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