bma: Bayesian model averaging for SUGS VarSel
In ococrook/sugsvarsel: SUGS algorithm of Wang and Dunson (2011), SUGS VarSel algorithm Crook et al.
Description
Usage
Arguments
Value
Description
Bayesian model averaging for SUGS VarSel
Usage
1
bma(X, MLnorm, Result)
Arguments
X
Data matrix with observations as rows
MLnorm
A vector of normalised marginal likelihood, most likely computed from occamsWindow
Result
The output from the function sugsvarsel
Value
Returns a numerical bayesian model averaged coclustering matrix
and numerical vector of bayesian model averaged selected variables
ococrook/sugsvarsel documentation built on May 27, 2019, 12:12 p.m.
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Description Usage Arguments Value
Description
Bayesian model averaging for SUGS VarSel
Usage
1 | bma(X, MLnorm, Result)
|
Arguments
X |
Data matrix with observations as rows |
MLnorm |
A vector of normalised marginal likelihood, most likely computed from |
Result |
The output from the function |
Value
Returns a numerical bayesian model averaged coclustering matrix and numerical vector of bayesian model averaged selected variables
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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