sg.bern.estimator: A function to fit a bernoulli distribution to a given...
In neurodata/wssg: Signal Subgraphs and Extensions
Description
Usage
Arguments
Value
See Also
Description
sg.bern.estimator estimate the parameter of a bernoulli distribution, p, for a given samp.
Usage
1
sg.bern.estimator(samp, thresh = 0, smooth = TRUE)
Arguments
samp
a univariate samp of values with arbitrary class labels.
thresh=0:
is the threshold below which we set edges to disconnected, and above which we set edges to connected.
smooth=TRUE:
whether to smooth p to avoid undesirable limits.
Value
p the p parameter per edge.
See Also
neurodata/wssg documentation built on May 16, 2019, 10:05 a.m.
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Description Usage Arguments Value See Also
Description
sg.bern.estimator estimate the parameter of a bernoulli distribution, p, for a given samp.
Usage
1 | sg.bern.estimator(samp, thresh = 0, smooth = TRUE)
|
Arguments
samp |
a univariate samp of values with arbitrary class labels. |
thresh=0: |
is the threshold below which we set edges to disconnected, and above which we set edges to connected. |
smooth=TRUE: |
whether to smooth p to avoid undesirable limits. |
Value
p the p parameter per edge.
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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