calibrate.c.alpha: Monte Carlo calibration of the decision threshold

In qountstat: Statistical Analysis of Count Data and Quantal Data

Monte Carlo calibration of the decision threshold

Description

Simulates the null distribution of the MSSR statistic for a given design. Internal helper of Overdispersion.test.

Usage

calibrate.c.alpha(
  mu.vector,
  n.vector,
  bootstrap.runs,
  pretest.mode = "tolerant",
  tolerance.factor = 2,
  zero.group.mean = 0.5
)

Arguments

mu.vector	Vector with the expected value per treatment group
n.vector	Vector with the number of observations per treatment group
bootstrap.runs	Number of Monte Carlo simulations
pretest.mode	Reference distribution ("tolerant" or "strict")
tolerance.factor	Tolerated variance-to-mean ratio (only used if pretest.mode = "tolerant")
zero.group.mean	Value that replaces a group mean of zero in the denominator

Value

Numeric vector with the simulated null distribution of the test statistic

qountstat documentation built on Oct. 16, 2026, 5:09 p.m.