soup

The <code>soup</code> data frame has 1847 rows and 13 variables. 185
  respondents participated in an A-not A discrimination test with
  sureness. Before experimentation the respondents were familiarized
  with the reference product and during experimentation, the respondents
  were asked to rate samples on an ordered scale with six categories
  given by combinations of (reference, not reference) and (sure, not
  sure, guess) from 'referene, sure' = 1 to 'not reference, sure' = 6.

datasets

This package implements likelihood based models for
        ordinal (ordered categorical) data based on cumulative
        probabilities in the framework of cumulative link models. This
        includes the important proportional odds model but also allows
        for general regression structures for location as well as scale
        of the latent distribution, i.e. additive as well as
        multiplicative structures, structured thresholds (cut-points),
        nominal effects and flexible link functions. Further, a range
        of estimation procedures and a range of auxiliary functions are
        implemented.

Rune B Christensen

ordinal

Regression Models for Ordinal Data

soup function

Data are simulated based on a real eksperiment. Permission to publish
  the real data is not granted (yet).

soup: Discrimination study of packet soup

Description

Usage

Arguments

source

References