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The\nstandard Plackett-Luce model is generalized to accommodate ties\nof any order in the ranking. Partial rankings, in which only a\nsubset of items are ranked in each ranking, are also\naccommodated in the implementation. Disconnected/weakly\nconnected networks implied by the rankings may be handled by\nadding pseudo-rankings with a hypothetical item. Optionally, a\nmultivariate normal prior may be set on the log-worth\nparameters and ranker reliabilities may be incorporated as\nproposed by Raman and Joachims (2014)\n. Maximum a posteriori estimation\nis used when priors are set. Methods are provided to estimate\nstandard errors or quasi-standard errors for inference as well\nas to fit Plackett-Luce trees. 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