create_index_predictors_with_lookup_table

<p>The name of the column of data data contains the player</p>

player

lookup_table

<p>Receives one column with player names and returns a data frame with the relevant index columns based on a given lookup table
To be used with the predictors data frame</p>

Models for the analysis of paired comparison data using Stan. The models include Bayesian versions of the Bradley-Terry model, including random effects (1 level), generalized model for predictors, order effect (home advantage) and the  variations for the Davidson (1970) model to handle ties. Additionally, we provide a number of functions to facilitate inference and obtaining results with these models. References: Bradley and Terry (1952) <doi:10.2307/2334029>; Davidson (1970) <doi:10.1080/01621459.1970.10481082>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.

David Issa Mattos

bpcs

Bayesian Paired Comparison Analysis with Stan

Erika Martins Silva Ramos

create_index_predictors_with_lookup_table function

Receives one column with player names and returns a data frame with the relevant index columns based on a given lookup table
To be used with the predictors data frame — create_index_predictors_with_lookup_table

Receives one column with player names and returns a data frame with the relevant index columns based on a given lookup table
To be used with the predictors data frame

create_index_predictors_with_lookup_table: Receives one column with player names and returns a data frame with the relevant index columns based on a given lookup table To be used with the predictors data frame

Description

Usage

Arguments

Value