fill_single_entries

Utility to fill in single missing entries of top-(K-1) sequences in partial ordering/ranking datasets

Fit finite mixtures of Plackett-Luce models for partial top rankings/orderings within the Bayesian framework. It provides MAP point estimates via EM algorithm and posterior MCMC simulations via Gibbs Sampling. It also fits MLE as a special case of the noninformative Bayesian analysis with vague priors. In addition to inferential techniques, the package assists other fundamental phases of a model-based analysis for partial rankings/orderings, by including functions for data manipulation, simulation, descriptive summary, model selection and goodness-of-fit evaluation. Main references on the methods are Mollica and Tardella (2017) <doi:10.1007/s11336-016-9530-0> and Mollica and Tardella (2014) <doi:10.1002/sim.6224>.

Cristina Mollica

PLMIX

Bayesian Analysis of Finite Mixture of Plackett-Luce Models

Luca Tardella

fill_single_entries function

<dl><dt>data</dt>
<dd>Numeric data matrix of partial sequences.</dd></dl>

Arguments

Cristina Mollica and Luca Tardella

Author

Utility to fill in single missing entries of top-(K-1) sequences in partial ordering/ranking datasets — fill_single_entries

<dl>

<dt>data</dt>
<dd>Numeric data matrix of partial sequences.</dd>

</dl>

fill_single_entries: Utility to fill in single missing entries of top-(K-1) sequences in partial ordering/ranking datasets

Description

Usage

Value

Arguments

Author