PlackettLuce-deprecated

grouped_rankings

The functions listed below are deprecated and will be defunct in
the near future. When possible, alternative functions with similar
functionality are also mentioned.

internal

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.

Heather Turner

PlackettLuce

Plackett-Luce Models for Rankings

Ioannis Kosmidis

David Firth

Jacob van Etten

PlackettLuce-deprecated function

<code>grouped_rankings()</code> has been replaced by <code><a rd-options="=group" href="/link/group()?package=PlackettLuce&version=0.2-9&to=%3Dgroup" data-mini-rdoc="=group::group()">group()</a></code>.

Deprecated functions in package PlackettLuce — PlackettLuce-deprecated

<code>grouped_rankings()</code> has been replaced by <code><a rd-options='=group' href='group()'>group()</a></code>.

PlackettLuce-deprecated: Deprecated functions in package PlackettLuce

Description

Usage

Arguments

grouped_rankings