View source: R/integratorWeights.R
integratorWeights | R Documentation |
Computes the correction to edges weight for integrator nodes, based on a set of solution models
integratorWeights(models.sel=models.sel, pknList=pknList, models.sel.intgAnd=models.sel.intgAnd,models.sel.comb=models.sel.comb,optParam=optParam)
models.sel |
list of solution networks |
pknList |
a |
models.sel.intgAnd |
matrix of combined intgAnd vectors for a set of solution vectors - this is only necessary if intgAsintm is TRUE, otherwise it can be set to NA |
models.sel.comb |
combined data frame of solution models - this is only necessary if |
optParam |
an |
a list with elements integrators2paste
which is a data frame of interactions to be copied, and 2 vectors AndBinF
and NoneBinF
with an element for each integrator node. AndBinF
is a new probability of the AND being sampled (if intgAsintm
=TRUE) or an integer that corrects the bin size for the AND sampling (if intgAsintm
=FALSE). NoneBinF
is an integer that corrects the bin size for "no edge" (if intgAsintm
=FALSE).
C. Terfve
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