bestPartialA: Optimize a subset of threshold parameters.
In davidkwca/inferTPBN: Infer Threshold PBNs from Timeseries Data.
Description
Usage
Arguments
Value
See Also
Description
While holding everything but the subset constant, optimize over this subset.
This essentially just tries every possible combination for the values on
this subset. However, zeroes are not allowed, as they have been found never
to come up while making the inference much, much, slower.
Usage
1
bestPartialA(ts.multi, net, g, i, subset)
Arguments
ts.multi
A list of timeseries.
net
A network.
g
A gene.
i
The index of the specific regulatory function for the optimization.
subset
The subset of parameters over which to optimize.
Value
A vector containing the best threshold parameters found.
See Also
davidkwca/inferTPBN documentation built on May 9, 2019, 12:53 p.m.
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Description Usage Arguments Value See Also
Description
While holding everything but the subset constant, optimize over this subset. This essentially just tries every possible combination for the values on this subset. However, zeroes are not allowed, as they have been found never to come up while making the inference much, much, slower.
Usage
1 | bestPartialA(ts.multi, net, g, i, subset)
|
Arguments
ts.multi |
A list of timeseries. |
net |
A network. |
g |
A gene. |
i |
The index of the specific regulatory function for the optimization. |
subset |
The subset of parameters over which to optimize. |
Value
A vector containing the best threshold parameters found.
See Also
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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