deviance.initgmf {sgdGMF} | R Documentation |
Compute deviance, AIC and BIC of an initialized GMF model
Description
Compute deviance, AIC and BIC of an initialized GMF object
Usage
## S3 method for class 'initgmf'
deviance(object, ..., normalize = FALSE)
## S3 method for class 'initgmf'
AIC(object, ..., k = 2)
## S3 method for class 'initgmf'
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 initgmf
object.
See Also
deviance.sgdgmf
, AIC.sgdgmf
and AIC.sgdgmf
.
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
init = sgdgmf.init(data$Y, ncomp = 3, family = poisson())
# Get the GMF deviance, AIC and BIC
deviance(init)
AIC(init)
BIC(init)
[Package sgdGMF version 1.0.1 Index]