dcSample: DC Sample

In pbulsink/HockeyModel: NHL Hockey Model for 2018-2019

DC Sample

Description

Get a random single game result using DC method. repeated running should give a new value each time

Usage

dcSample(
  home,
  away,
  params = NULL,
  maxgoal = 10,
  scores = HockeyModel::scores,
  expected_mean = NULL,
  season_percent = NULL,
  as_result = TRUE
)

Arguments

home	home team
away	away team
params	The named list containing m, rho, beta, eta, and k. See updateDC for information on the params list
maxgoal	max number of goals per team
scores	optional, if not supplying m & rho, scores used to calculate them.
expected_mean	the mean lambda & mu, used only for regression
season_percent	the percent complete of the season, used for regression
as_result	Whether to give a score or just flatten it to result type (see scores for score result)

Value

a random Home & away goals & OT/SO status if needed

Examples

dcSample("Toronto Maple Leafs", "Montreal Canadiens")

pbulsink/HockeyModel documentation built on Dec. 16, 2024, 8:03 a.m.