# 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 fitted values of a GMF model
str(fitted(gmf)) # returns the overall fitted values in link scale
str(fitted(gmf, type = "response")) # returns the overall fitted values in response scale
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