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 (mixed)
        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, flexible link functions and
        random effects. 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 produced by Unilever Research. Permission to publish
  the real data is granted.

soup: Discrimination study of packet soup

Description

Usage

Arguments

source

References