classification: Preference-based classification of deciders

In RprobitB: Bayesian Probit Choice Modeling

Preference-based classification of deciders

Description

This function classifies the deciders based on their allocation to the components of the mixing distribution.

Usage

classification(x, add_true = FALSE)

Arguments

x	An object of class RprobitB_fit.
add_true	Set to TRUE to add true class memberships to output (if available).

Details

The relative frequencies of which each decider was allocated to the classes during the Gibbs sampling are displayed. Only the thinned samples after the burn-in period are considered.

Value

A data.frame.

The row names are the decider identifiers.

The first C columns contain the relative frequencies with which the ⁠deciders are allocated to classes. Next, the column⁠est' contains the estimated class of the decider based on the highest allocation frequency.

If add_true = TRUE, the next column true contains the true class memberships.

See Also

update_z() for the updating function of the class allocation vector.

RprobitB documentation built on Aug. 26, 2025, 1:08 a.m.