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hturner
PlackettLuce:Plackett-Luce Models for Rankings
Functions to prepare rankings data and fit the Plackett-Luce model jointly attributed to Plackett (1975) <doi:10.2307/2346567> and Luce (1959, ISBN:0486441369). The standard Plackett-Luce model is generalized to accommodate ties of any order in the ranking. Partial rankings, in which only a subset of items are ranked in each ranking, are also accommodated in the implementation. Disconnected/weakly connected networks implied by the rankings may be handled by adding pseudo-rankings with a hypothetical item. Optionally, a multivariate normal prior may be set on the log-worth parameters and ranker reliabilities may be incorporated as proposed by Raman and Joachims (2014) <doi:10.1145/2623330.2623654>. Maximum a posteriori estimation is used when priors are set. Methods are provided to estimate standard errors or quasi-standard errors for inference as well as to fit Plackett-Luce trees. See the package website or vignette for further details.
Maintained by Heather Turner. Last updated 2 years ago.
plackett-luce-modelspreferencesrankingrankings-datastatistical-models
20 stars 7.97 score 86 scripts 3 dependents
vpihur
clValid:Validation of Clustering Results
Statistical and biological validation of clustering results. This package implements Dunn Index, Silhouette, Connectivity, Stability, BHI and BSI. Further information can be found in Brock, G et al. (2008) <doi: 10.18637/jss.v025.i04>.
Maintained by Vasyl Pihur. Last updated 4 years ago.
5 stars 7.24 score 422 scripts 14 dependents
cran
clv:Cluster Validation Techniques
Package contains most of the popular internal and external cluster validation methods ready to use for the most of the outputs produced by functions coming from package "cluster". Package contains also functions and examples of usage for cluster stability approach that might be applied to algorithms implemented in "cluster" package as well as user defined clustering algorithms.
Maintained by Lukasz Nieweglowski. Last updated 2 years ago.
1 stars 3.50 score 17 dependents