btmprobs: Fitted probabilities of the Terry-Bradley model

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/btmprobs.R

Description

Fitted probabilities of the Terry-Bradley model.

Usage

1
btmprobs(x, tol = 1e-09)

Arguments

x

A numerical square, usually not symmetric, matrix with discrete valued data. Each entry is a frequency, to give an example, the number of wins. x[i, j] is the number of wins of home team i against guest team j. x[j, i] is the number of wins of home team j against guest team i.

tol

The tolerance level to terminate the iterative algorithm.

Details

It fits a Bradley-Terry model to the given matrix and returns the fitted probabilities only.

Value

A list including:

iters

The numbetr of iterations required.

probs

A vector with probabilities which sum to 1. This is the probability of win for each item (or team in our hypothetical example).

Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr> and Manos Papadakis <papadakm95@gmail.com>.

References

Bradley R.A. and Terry M.E. (1952). Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons. Biometrika, 39(3/4):324-345.

Huang Tzu-Kuo, Ruby C. Weng and Chih-Jen Lin (2006). Generalized Bradley-Terry models and multi-class probability estimates. Journal of Machine Learning Research, 7:85-115.

Agresti A. (2002). Categorical Data Analysis (2nd ed). New York: Wiley.

See Also

g2tests, poisson.anova, anova, poisson_only, poisson.mle

Examples

1
2
x <- matrix( rpois(10 * 10, 10), ncol = 10) ## not the best example though
res<-btmprobs(x)

Rfast documentation built on May 18, 2021, 1:07 a.m.