simPC

simR

nobj

nobs

If <code>NULL</code>, values are drawn from uniform distribution (interval from 0 to 1), otherwise the user may specify
     arbitrary values. In both cases, the values are transformed into [0,1] and scaled to sum up to 1.

worth

Starting value for the random number generator.

seed

If <code>TRUE</code>, the used worth parameters are printed.

The function generates a random paired comparison
            data matrix (two response categories, no undecided) or a rankings data matrix
            optionally based on user specified worth parameters.

datagen

Generates design matrix for analysing real paired comparisons and derived paired comparison data (Likert type items/ratings or rankings) using a loglinear approach.  Fits loglinear Bradley-Terry model (LLBT) exploiting an eliminate feature.  Computes pattern models for paired comparisons, rankings, and ratings.  Some treatment of missing values (MCAR and MNAR). Fits latent class (mixture) models for paired comparison, rating and ranking patterns using a non-parametric ML approach.

simPC: Utility function to simulate paired comparison or rankings data

Description

Usage

Arguments

Value

encoding

Examples