sample.size.count.poisson.onesample.exact: Sample Size - Single Sample Poisson Test

Description Usage Arguments Value

View source: R/sample.size.count.poisson.onesample.exact.R

Description

Sample size calculation utilizes the exact power calculation.

Usage

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sample.size.count.poisson.onesample.exact(
  lambda.null.hypothesis,
  lambda.alternative.hypothesis,
  alpha = 0.05,
  beta = 0.1,
  alternative = c("two.sided", "less", "greater"),
  details = TRUE,
  power.from.actual = F,
  n.initial = sample.size.count.poisson.onesample.approximate(lambda.null.hypothesis =
    lambda.null.hypothesis, lambda.alternative.hypothesis =
    lambda.alternative.hypothesis, alpha = alpha, beta = beta, alternative = alternative,
    details = FALSE),
  max.iteration = 10000
)

Arguments

lambda.null.hypothesis

Scalar - null hypothesis lambda parameter

lambda.alternative.hypothesis

Scalar - alternative hypothesis lambda parameter

alpha

Scalar - Type I error rate

beta

Scalar - Type II error rate

alternative

Scalar (character) - alternative hypothesis

details

Logical - Return calculation details (default) or return only sample size (details = FALSE)

power.from.actual

Logical - If true, return 1-beta, if false, calculate power using calculated sample size.

n.initial

Scalar - Integer with initial sample size guess.

max.iteration

Scalar - Maximum iterations to perform before declaring failure.

Value

A data frame with details about the calculation or a single value with sample size (details = F).


burrm/lolcat documentation built on Nov. 22, 2021, 10:53 a.m.