mbt {eba} | R Documentation |
Fits a Mallows-Bradley-Terry (MBT) model by maximum likelihood.
mbt(data, bootstrap = FALSE, nsim = 1000, ...)
data |
a data frame, the first t columns containing the ranks, the (t + 1)th column containing the frequencies |
bootstrap |
logical. Return a parametric bootstrap p-value? |
nsim |
number of bootstrap replicates |
... |
further aguments passed to |
mbt
provides a front end for glm
. See Critchlow and Fligner
(1991) and Mallows (1957) for details.
coefficients |
a vector of parameter estimates (scale values) constrained to sum to unity |
goodness.of.fit |
the goodness of fit statistic including the
likelihood ratio fitted vs. saturated model (-2logL), the degrees of
freedom, the p-value of the corresponding chi-square distribution, and
if |
perm.idx |
the names of the non-zero frequency ranks |
y |
the vector of rank frequencies including zeros |
mbt.glm |
the output from a call to |
Florian Wickelmaier
Critchlow, D.E., & Fligner, M.A. (1991). Paired comparison, triple comparison, and ranking experiments as generalized linear models, and their implementation in GLIM. Psychometrika, 56, 517–533. doi: 10.1007/bf02294488
Mallows, C.L. (1957). Non-null ranking models. I. Biometrika, 44, 114–130. doi: 10.1093/biomet/44.1-2.114
data(tartness) # tartness rankings of salad dressings (Vargo, 1989)
mbt(tartness, bootstrap=TRUE, nsim=500) # fit Mallows-Bradley-Terry model