sgdGMF (version 1.0)

deviance.initgmf: 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 initgmf
deviance(object, ..., normalize = FALSE)
# S3 method for initgmf
AIC(object, ..., k = 2)
# S3 method for initgmf
BIC(object, ...)

Value

The value of the deviance extracted from a initgmf object.

Arguments

object

an object of class initgmf

...

further arguments passed to or from other methods

normalize

if TRUE, normalize the result using the null-deviance

k

the penalty parameter to be used for AIC; the default is k = 2

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)