deviance.sgdgmf {sgdGMF} | R Documentation |
Compute deviance, AIC and BIC of a GMF model
Description
Compute deviance, AIC and BIC of a GMF object
Usage
## S3 method for class 'sgdgmf'
deviance(object, ..., normalize = FALSE)
## S3 method for class 'sgdgmf'
AIC(object, ..., k = 2)
## S3 method for class 'sgdgmf'
BIC(object, ...)
Arguments
object |
an object of class |
... |
further arguments passed to or from other methods |
normalize |
if |
k |
the penalty parameter to be used for AIC; the default is |
Value
The value of the deviance extracted from a sgdgmf
object.
Examples
# Load the sgdGMF package
library(sgdGMF)
# Generate data from a Poisson model
data = sim.gmf.data(n = 100, m = 20, ncomp = 5, family = poisson())
# Fit a GMF model with 3 latent factors
gmf = sgdgmf.fit(data$Y, ncomp = 3, family = poisson())
# Get the GMF deviance, AIC and BIC
deviance(gmf)
AIC(gmf)
BIC(gmf)
[Package sgdGMF version 1.0.1 Index]