btReg {psychotree}R Documentation

Model-Generating Function for Bradley-Terry Models

Description

btReg is a wrapper function that creates a "StatModel" object with certain fitting parameters passed on to btReg.fit for fitting simple Bradley-Terry models.

Usage

btReg(type = "loglin", ref = NULL, undecided = NULL, position = NULL)

btReg.fit(y, weights = NULL, type = c("loglin", "logit"), ref = NULL,
  undecided = NULL, position = NULL, ...)

Arguments

y paircomp object with the response.
weights an optional vector of weights, interpreted as case weights (integer only).
type character. Should an auxiliary log-linear Poisson model or logistic binomial be employed for estimation? The latter is only available if not undecided effects are estimated.
ref character or numeric. Which object parameter should be the reference category, i.e., constrained to zero?
undecided logical. Should an undecided parameter be estimated?
position logical. Should a position effect be estimated?
... further arguments passed to functions.

Details

btReg is the S4 interface for btReg.fit so that it can be used in mob. The user does not have to call this directly but can simply use the bttree interface.

Value

An object of class "StatModel" that fits Bradley-Terry models with the specified arguments.

See Also

bttree


[Package psychotree version 0.9-0 Index]