BayesWishart: Wishart Estimator.
In SachaEpskamp/BayesGGM: Bayesian Estimators for Gaussian Graphical Models
Description
Usage
Arguments
Value
Description
BayesWishart Provides non-regularized precision matrix estimate.
Usage
1
BayesWishart(data, mu0 = 0)
Arguments
data
A data matrix with rows representinh participants and columns
representing variables/nodes.
Value
Returns dataframes for the precision matrix, partial
correlations, and the variability is the estimates of the precision matrix entries
with estimates from each iteration of the Gibbs-sampler.
SachaEpskamp/BayesGGM documentation built on May 8, 2019, 6:44 p.m.
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Description Usage Arguments Value
Description
BayesWishart Provides non-regularized precision matrix estimate.
Usage
1 | BayesWishart(data, mu0 = 0)
|
Arguments
data |
A data matrix with rows representinh participants and columns representing variables/nodes. |
Value
Returns dataframes for the precision matrix, partial correlations, and the variability is the estimates of the precision matrix entries with estimates from each iteration of the Gibbs-sampler.
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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