glicko2_run  R Documentation 
Glicko2 rating algorithm
glicko2_run(
formula,
data,
r = numeric(0),
rd = numeric(0),
sigma = numeric(0),
lambda = NULL,
share = NULL,
weight = NULL,
init_r = 1500,
init_rd = 350,
init_sigma = 0.05,
kappa = 0.5,
tau = 0.5
)
formula 
formula which specifies the model. RHS Allows only player
rating parameter and it should be specified in following manner:
Users can also specify formula in in different way:

data 
data.frame which contains columns specified in formula, and
optional columns defined by 
r 
named vector of initial players ratings estimates. If not specified
then 
rd 
rd named vector of initial rating deviation estimates. If not specified
then 
sigma 
(only for glicko2) named vector of initial players ratings
estimates. If not specified then 
lambda 
name of the column in 
share 
name of the column in 
weight 
name of the column in 
init_r 
initial values for 
init_rd 
initial values for 
init_sigma 
initial values for 
kappa 
controls 
tau 
The system constant. Which constrains the change in volatility over
time. Reasonable choices are between 0.3 and 1.2 ( 
A "rating" object is returned:
final_r
named vector containing players ratings.
final_rd
named vector containing players ratings deviations.
final_sigma
named vector containing players ratings volatile.
r
data.frame with evolution of the ratings and ratings deviations
estimated at each event.
pairs
pairwise combinations of players in analysed events with
prior probability and result of a challenge.
class
of the object.
method
type of algorithm used.
settings
arguments specified in function call.
# the simplest example
data < data.frame(
id = c(1, 1, 1, 1),
team = c("A", "A", "B", "B"),
player = c("a", "b", "c", "d"),
rank_team = c(1, 1, 2, 2),
rank_player = c(3, 4, 1, 2)
)
# Example from Glickman
glicko2 < glicko2_run(
data = data,
formula = rank_player  id ~ player(player),
r = setNames(c(1500.0, 1400.0, 1550.0, 1700.0), c("a", "b", "c", "d")),
rd = setNames(c(200.0, 30.0, 100.0, 300.0), c("a", "b", "c", "d"))
)
# nested matchup
glicko2 < glicko2_run(
data = data,
formula = rank_team  id ~ player(player  team)
)
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