sim_Zn function

Rènyi-Type Statistic Simulation (Assuming Variance)

Rènyi-Type Statistic Simulation (Assuming Variance)

Simulates multiple realizations of the Rènyi-type statistic when the long-run variance of the data is known.

sim_Zn(size, kn, n = 500, gen_func = rnorm, args = NULL, sd = 1)

Arguments

  • size: Number of realizations to simulate
  • kn: A function returning a positive integer that is used in the definition of the Rènyi-type statistic effectively setting the bounds over which the maximum is taken
  • n: The sample size for each realization
  • gen_func: The function generating the random sample from which the statistic is computed
  • args: A list of arguments to be passed to gen_func
  • sd: The square root of the second moment of the data

Returns

A vector of simulated realizations of the Rènyi-type statistic

Examples

CPAT:::sim_Zn(100, kn = function(n) {floor(log(n))}) CPAT:::sim_Zn(100, kn = function(n) {floor(log(n))}, gen_func = CPAT:::rchangepoint, args = list(changepoint = 250, mean2 = 1))
  • Maintainer: Curtis Miller
  • License: MIT + file LICENSE
  • Last published: 2018-12-25

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