EloSteepness (version 0.5.0)

davids_steepness: David's scores and steepness with Bayesian flavor

Description

David's scores and steepness with Bayesian flavor

Usage

davids_steepness(mat, silent = FALSE, ...)

Value

a list with results of the modelling fitting, containing the following list items:

steepness

a one-column matrix with the posterior samples for steepness. Each row is one iteration.

norm_ds

an matrix with posterior normalized David's scores for each individual. Each column is one individual. Each row is one iteration.

ids

a character vector with individual ID codes as supplied in mat

diagnostics

a list with information regarding sampling problems

stanfit

the actual stanfit object

mat

the input matrix

Arguments

mat

square interaction matrix

silent

logical, suppress warnings (default is FALSE)

...

additional arguments for sampling()

Examples

data(dommats, package = "EloRating")
res <- davids_steepness(dommats$elephants, refresh = 0)
plot_steepness(res)