factors                 Determine latent factors for new rows/users
factors.single          Get latent factors for a new user given her
                        item counts
get.factor.matrices     Extract Latent Factor Matrices
get.model.mappings      Extract user/row and item/column mappings from
                        Poisson model.
poismf                  Factorization of Sparse Counts Matrices through
                        Poisson Likelihood
poismf_unsafe           Poisson factorization with no input casting
predict.poismf          Predict expected count for new row(user) and
                        column(item) combinations
print.poismf            Get information about poismf object
summary.poismf          Get information about poismf object
topN                    Rank top-N highest-predicted items for an
                        existing user
topN.new                Rank top-N highest-predicted items for a new
                        user
