| prefmod-package {prefmod} | R Documentation |
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) exploting an eliminate feature. Computes pattern models for paired comparisons, rankings, and ratings. Some treatment of missing values (MCAR and MNAR).
| Package: | prefmod |
| Type: | Package |
| Version: | 0.8-16 |
| Date: | 2008-06-05 |
| Depends: | stats |
| License: | GPL |
Reinhold Hatzinger
Maintainer: Reinhold Hatzinger <reinhold.hatzinger@wu-wien.ac.at>
## 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)