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
poisson.llk             Evaluate Poisson log-likelihood for counts
                        matrix
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
