# 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 estimated coefficients of a GMF model
str(coefficients(init)) # returns all the coefficients
str(coefficients(init, type = "scores")) # returns only the scores, say U
str(coefficients(init, type = "loadings")) # returns only the loadings, say V
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