mcmc_performance: mcmc_performance - Performance plot for MCMC
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
Creates ROC and AUC for MCMC sampling.
Usage
1
2
mcmc_performance(lst, plot = TRUE)
trapezoid(sp,sn)
Arguments
lst
The result list from an MCMC run.
plot
Boolean. If TRUE, show a plot of the ROC curve.
Details
trapezoid calculates the (approximate) area under curve (AUC) of two vectors of SN and SP values.
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.
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.
Description Usage Arguments Details Value Note Author(s) References See Also Examples
Description
Creates ROC and AUC for MCMC sampling.
Usage
1 2 | mcmc_performance(lst, plot = TRUE)
trapezoid(sp,sn)
|
Arguments
lst |
The result list from an MCMC run. |
plot |
Boolean. If TRUE, show a plot of the ROC curve. |
Details
trapezoid calculates the (approximate) area under curve (AUC) of two vectors of SN and SP values.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.