R: Joint Statistical Models for Preference Learning with Rankings and Ratings

# Joint Statistical Models for Preference Learning with Rankings and Ratings

## Documentation for package ‘rankrate’ version 1.2.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

AIBS | Real peer review data set from the American Institute of Biological Sciences (AIBS)
ASTAR | Calculate the exact MLE of a Mallows-Binomial distribution using an A* algorithm
ci_mb | Bootstrap Confidence Intervals for Mallows-Binomial parameters.
dmall | Calculate the density of rankings under a Mallows distribution
dmb | Calculate the density of rankings and ratings under a Mallows-Binomial distribution.
fit_mb | Calculate the exact or approximate MLE of a Mallows-Binomial distribution using various methods
FV | Estimate the MLE of a Mallows-Binomial distribution using the FV method
getQ | Calculate Q Matrix
Greedy | Estimate the MLE of a Mallows-Binomial distribution using the Greedy method
GreedyLocal | Estimate the MLE of a Mallows-Binomial distribution using the "Greedy Local" method
kendall | Calculate the Kendall's tau between rankings
psi | Normalizing constant function of a Mallows distribution, psi
rmall | Random Mallows generation.
rmb | Random Mallows-Binomial generation
ToyData1 | Toy data set of rankings and ratings demonstrating tie-breaking
ToyData2 | Toy data set of rankings and ratings demonstrating decision-making with partial rankings
ToyData3 | Toy data set of rankings and ratings when judges express internally inconsistent preferences
to_rankings | Convert ranks into rankings (orderings)