elo_steepness_from_sequence {EloSteepness} | R Documentation |
steepness based on Bayesian Elo-rating
Description
for interaction data with known sequence of observations
Usage
elo_steepness_from_sequence(
winner,
loser,
algo = c("fixed_sd", "original", "fixed_k"),
silent = FALSE,
k = NULL,
...
)
Arguments
winner |
character (or factor) of winning individuals |
loser |
character (or factor) of losing individuals |
algo |
character, either |
silent |
logical, suppress warnings (default is |
k |
numeric, provides a fixed k parameter. This only has effects if
|
... |
additional arguments for |
Value
a list with results of the model fitting
(see elo_steepness_from_matrix
) for details
Examples
data(adv, package = "EloRating")
res <- elo_steepness_from_sequence(winner = adv$winner, loser = adv$loser,
cores = 1, chains = 2, iter = 1000,
warmup = 500, seed = 1, refresh = 0)
plot_steepness(res)