Description Usage Arguments Value Examples
Perform network inference with bootstrap approach.
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expr |
a n by d data matrix |
nboot |
number of bootstrap samples |
nkeep1 |
number of edges to keep from each infered network |
nkeep2 |
minimum number of times an edge has to be predicted to be kept in the final network |
parallel |
should the function be run in parallel (unix-like systems only) |
ncores |
number of cores for parallel executions |
seeds |
vector of |
... |
options passed to the function |
object with the following entries
edges
final infered network
mse
total OOB mean square error
adjacency
total adjacency matrix combined from the nboot
infered network
stars
StaRs criterion
stability
stability criterion
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