mcmc_accept: mcmc_accept - accept move or not
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
Computes acceptance rates for the move as well as for the prior strength parameter lambda.
Usage
1
mcmc_accept(bestmodel, bettermodels, newlambda, debug=0)
Arguments
bestmodel
The current model.
bettermodels
The proposed model.
newlambda
The proposed prior strength.
debug
Numeric. The debug level to be used.
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
Computes acceptance rates for the move as well as for the prior strength parameter lambda.
Usage
1 | mcmc_accept(bestmodel, bettermodels, newlambda, debug=0)
|
Arguments
bestmodel |
The current model. |
bettermodels |
The proposed model. |
newlambda |
The proposed prior strength. |
debug |
Numeric. The debug level to be used. |
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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