davids_steepness {EloSteepness} | R Documentation |
David's scores and steepness with Bayesian flavor
Description
David's scores and steepness with Bayesian flavor
Usage
davids_steepness(mat, silent = FALSE, ...)
Arguments
mat |
square interaction matrix |
silent |
logical, suppress warnings (default is |
... |
additional arguments for |
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
objectmat
the input matrix
Examples
data(dommats, package = "EloRating")
res <- davids_steepness(dommats$elephants, refresh = 0)
plot_steepness(res)
[Package EloSteepness version 0.5.0 Index]