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| calc.all.counts | Predict whole input matrix |
| evaluate.poisson.llk | Evaluate Poisson log-likelihood for counts matrix |
| 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 |