prefmod (version 0.8-33)

prefmod-package: prefmod: 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 pattern mixture models using a non-parametric ML approach.

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UTF-8

cr

Version:

Sexpr

• [stage=build]{packageDescription("prefmod")$Version} Date:
• [stage=build]{packageDescription("prefmod")$Date} License:
• [stage=build]{packageDescription("prefmod")$License}

Details

ll{ Package: }prefmod Type:

References

Hatzinger, R., & Dittrich, R. (2012). prefmod: An R Package for Modeling Preferences Based on Paired Comparisons, Rankings, or Ratings. Journal of Statistical Software, 48(10), 1--31. http://www.jstatsoft.org/v48/i10/

Examples

# mini example with three Likert items and two subject covariates

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

# fit of Critchlov & Fligner (1991) Salad Dressings Data
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, data = sal, family = poisson)