prefmod-package {prefmod}R Documentation

Utilities to fit paired comparison model for preferences

Description

Generates design matrix for analysing paired comparison, Likert type items or ratings, and Rankings for fitting loglinear paired comparison models. Fits LLBT using the eliminate feature. Fits pattern models for paired comparisons, rankings, and ratings.

Details

Package: prefmod
Type: Package
Version: 0.0-7
Date: 2008-05-28
Depends: stats
License: GPL

Index:

cemspc                  Data: CEMS
dat4                    Data: dat4
issp2000                Data: ISSP 2000 Survey on Environmental Issues
llbt.design             Loglinear Bradley-Terry Model (LLBT) - Design
                        Matrix Generation
llbt.fit                Function to fit an LLBT
baseball                Data: Baseball Games
music                   Data: Music (Music (General social survey)
patt.design             Paired Comparison Patterns - Design Matrix
                        Generation
pattL.fit               Function to fit a pattern model for ratings
                        (Likert items)
pattPC.fit              Function to fit a pattern model for paired
                        comparisons
pattR.fit               Function to fit a pattern model for rankings
salad                   Data: Salad Dressings (Critchlow and Fligner)
xmpl                    Data: Example Data Set

Author(s)

Reinhold Hatzinger

Maintainer: Reinhold Hatzinger <reinhold.hatzinger@wu-wien.ac.at>

Examples

## mini example with three Likert items
## and two subject covariates

data(xmpl)   # example data in package
dsgnmat <- patt.design(xmpl, nitems = 3, resptype="rating",
    blnIntcovs = TRUE, cov.sel="ALL")
print(head(dsgnmat))

## fit of Critchlov & Fligner (1991) Salad Dressings Data
data(salad)
pattR.fit(salad, nitems=4)

# alternatively use glm() with patt.design()
sal<-patt.design(salad,nitems=4,resptype="ranking")
glm(y~A+B+C+D,family=poisson,data=sal)

[Package prefmod version 0.0-7 Index]