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prefmod (version 0.8-32)

Utilities to fit paired comparison models for preferences

Description

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.

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Version

Install

install.packages('prefmod')

Monthly Downloads

3,036

Version

0.8-32

License

GPL (>= 2)

Maintainer

Marco Johannes Maier

Last Published

May 20th, 2014

Functions in prefmod (0.8-32)

summary.pattNPML

Summarizing finite mixture regression fits

Function to fit a pattern model for repeated ratings (Likert items)

Function to fit an LLBT

Data (Likert items): Example Data Set

Data (ratings): Music (US General social survey 1993)

Data (Likert items): ISSP 2000 Survey on Environmental Issues

Utility function to expand aggregated data

NPML estimation for paired comparison models

Print methods for pattern models

Data (partial rankings): Car Configurator

Paired Comparison Patterns - Design Matrix Generation

Loglinear Bradley-Terry Model (LLBT) - Design Matrix Generation

Data (paired comparisons): Preferred Interview Partner

Function to fit a pattern model for paired comparisons

Function to fit a pattern model for (partial) rankings

Function to calculate and print worth parameters from pattern model results

Data (ranks): Salad Dressings (Critchlow and Fligner)

Deprecated function to plot worth or model parameters from LLBT or pattern models

Function to calculate and print worth parameters from LLBT model results

prefmod-package

prefmod: Utilities to fit paired comparison models for preferences

Method to plot worth or model parameters from LLBT or pattern models

Data (paired comparisons): dat4

Function to fit a pattern model for ratings (Likert items)

Data (paired comparisons with undecided): CEMS (Community of European management schools)

Data (paired comparisons): Training delivery modes

Function to fit a pattern model for repeated rankings)

Data (paired comparisons with undecided and forced NAs): Negative Attitudes towards Immigrants

Function to fit a loglinear Bradley-Terry model for paired comparisons

Data (paired comparisons): Baseball Games

Utility function to simulate paired comparison or rankings data

Design data frame for a paired comparison pattern model for rankings (Eurobarometer 55.2)

Function to check/report missing values in paired comparison studies