reexports

itempar

qvcalc

These objects are imported from other packages. Follow the links
below to see their documentation.<dl class="dl-horizontal">
 <dt>psychotools</dt><dd><code><a rd-options="psychotools" href="/link/itempar?package=PlackettLuce&version=0.2-9&to=psychotools" data-mini-rdoc="psychotools::itempar">itempar</a></code></dd><dt>qvcalc</dt><dd><code><a rd-options="qvcalc" href="/link/qvcalc?package=PlackettLuce&version=0.2-9&to=qvcalc" data-mini-rdoc="qvcalc::qvcalc">qvcalc</a></code></dd><dt>utils</dt><dd><code><a rd-options="utils" href="/link/str?package=PlackettLuce&version=0.2-9&to=utils" data-mini-rdoc="utils::str">str</a></code></dd>
</dl>

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.

reexports: Objects exported from other packages

Description

Arguments