This paper describes the R add-on package BradleyTerry, which facilitates the specification and fitting of Bradley-Terry logit models to pair-comparison data. Included are the standard "unstructured" Bradley-Terry model, structured versions in which the parameters are related through a linear predictor to explanatory variables, and the possibility of an order or "home advantage" effect. Model fitting is either by maximum likelihood or by bias-reduced maximum likelihood in which the first-order asymptotic bias of parameter estimates is eliminated. Also provided are a simple and efficient approach to handling missing covariate data, and suitably-defined residuals for diagnostic checking of the linear predictor; these are new methodological co...
and Jaeckel proposed rank estimation for linear models. Since that time, several authors have develo...
The preference scaling of a group of subjects may not be homogeneous, but different groups of subjec...
The present paper gives a general introduction to the linear logistic test model (Fischer, 1973), an...
This paper describes the R add-on package BradleyTerry, which facilitates the specification and fitt...
This paper describes the R add-on package BradleyTerry, which facilitates the specification and fitt...
This is a short overview of the R add-on package BradleyTerry2, which facilitates the specification ...
Abstract This is a short overview of the R add-on package BradleyTerry2, which facilitates the speci...
Bradley and Terry (1952) proposed a logit model for paired evaluations. In their model, ties are not...
The simple Bradley-Terry model postulates a latent "ability" scale for compared objects, where diffe...
This paper is made available online in accordance with publisher policies. Please scroll down to vie...
Paired comparison models in loglinear form are generalised linear models and can be fitted using the...
In paired comparison models, the inclusion of covariates is a tool to account for the heterogeneity ...
The first part of this paper describes a series of loglinear preference models based on paired compa...
A log-linear representation of the Bradley-Terry model is presented for multivariate paired comparis...
In paired comparison models, the inclusion of covariates is a tool to account for the heterogeneity ...
and Jaeckel proposed rank estimation for linear models. Since that time, several authors have develo...
The preference scaling of a group of subjects may not be homogeneous, but different groups of subjec...
The present paper gives a general introduction to the linear logistic test model (Fischer, 1973), an...
This paper describes the R add-on package BradleyTerry, which facilitates the specification and fitt...
This paper describes the R add-on package BradleyTerry, which facilitates the specification and fitt...
This is a short overview of the R add-on package BradleyTerry2, which facilitates the specification ...
Abstract This is a short overview of the R add-on package BradleyTerry2, which facilitates the speci...
Bradley and Terry (1952) proposed a logit model for paired evaluations. In their model, ties are not...
The simple Bradley-Terry model postulates a latent "ability" scale for compared objects, where diffe...
This paper is made available online in accordance with publisher policies. Please scroll down to vie...
Paired comparison models in loglinear form are generalised linear models and can be fitted using the...
In paired comparison models, the inclusion of covariates is a tool to account for the heterogeneity ...
The first part of this paper describes a series of loglinear preference models based on paired compa...
A log-linear representation of the Bradley-Terry model is presented for multivariate paired comparis...
In paired comparison models, the inclusion of covariates is a tool to account for the heterogeneity ...
and Jaeckel proposed rank estimation for linear models. Since that time, several authors have develo...
The preference scaling of a group of subjects may not be homogeneous, but different groups of subjec...
The present paper gives a general introduction to the linear logistic test model (Fischer, 1973), an...