predict.ssgraph {ssgraph} | R Documentation |
Predict function for S3
class "bdgraph
"
Description
Provides predict values of the results for function ssgraph
.
Usage
## S3 method for class 'ssgraph'
predict( object, iter = 1, ... )
Arguments
object |
object of |
iter |
number of predictions. |
... |
additional parameters. |
Author(s)
Reza Mohammadi a.mohammadi@uva.nl
References
Wang, H. (2015). Scaling it up: Stochastic search structure learning in graphical models, Bayesian Analysis, 10(2):351-377
Mohammadi, A. et al (2017). Bayesian modelling of Dupuytren disease by using Gaussian copula graphical models, Journal of the Royal Statistical Society: Series C, 66(3):629-645
See Also
Examples
## Not run:
# Generating multivariate normal data from a 'random' graph
data.sim <- bdgraph.sim( n = 50, p = 6, size = 7, vis = TRUE )
ssgraph.obj <- ssgraph( data = data.sim )
predict( ssgraph.obj, iter = 20 )
## End(Not run)
[Package ssgraph version 1.15 Index]