sg.beta.estimator: A function to fit a beta distribution to a given univariate...
In neurodata/subgraphing: Signal Subgraphs and Extensions
Description
Usage
Arguments
Value
See Also
Description
sg.beta.estimator uses the method of moments to estimate the parameters of a beta
distribution, alpha and beta, for a given samp.
Usage
1
sg.beta.estimator(samp)
Arguments
samp
a univariate samp of values with arbitrary class labels.
Value
alpha [n x m] the alpha parameter per edge.
beta [n x m] the beta parameter per edge.
See Also
neurodata/subgraphing documentation built on May 21, 2019, 8:10 a.m.
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Description Usage Arguments Value See Also
Description
sg.beta.estimator uses the method of moments to estimate the parameters of a beta
distribution, alpha and beta, for a given samp.
Usage
1 | sg.beta.estimator(samp)
|
Arguments
samp |
a univariate samp of values with arbitrary class labels. |
Value
alpha [n x m] the alpha parameter per edge.
beta [n x m] the beta 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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