PLMIX (version 2.1.1)

paired_comparisons: Paired comparison matrix for a partial ordering/ranking dataset

Description

Construct the paired comparison matrix for a partial ordering/ranking dataset.

Usage

paired_comparisons(data, format_input, nranked = NULL)

Arguments

data

Numeric \(N\)\(\times\)\(K\) data matrix of partial sequences.

format_input

Character string indicating the format of the data input, namely "ordering" or "ranking".

nranked

Optional numeric vector of length \(N\) with the number of items ranked by each sample unit.

Value

Numeric \(K\)\(\times\)\(K\) paired comparison matrix: the \((i,i')\)-th entry indicates the number of sample units that preferred item \(i\) to item \(i'\).

References

Mollica, C. and Tardella, L. (2017). Bayesian Plackett-Luce mixture models for partially ranked data. Psychometrika, 82(2), pages 442--458, ISSN: 0033-3123, DOI: 10.1007/s11336-016-9530-0.

See Also

rank_summaries

Examples

# NOT RUN {
data(d_dublinwest)
paired_comparisons(data=d_dublinwest, format_input="ordering")
# }