ChiSquaredDataDistribution-class: Chi-Squared data distribution

In adoptr: Adaptive Optimal Two-Stage Designs

Chi-Squared data distribution

Description

Implements a chi-squared distribution. The classes Pearson2xk and ZSquared are subclasses, used in two different situations. Pearson2xK is used when testing k groups for homogeneity in response rates. The null hypothesis is r₁=...=r_k, and the alternative is that there exists a pair of groups with differing rates. ZSquared implements the square of a normally distributed random variable with mean \mu and standard deviation \sigma^2.

Usage

ChiSquared(df)

## S4 method for signature 'ChiSquared'
quantile(x, probs, n, theta, ...)

## S4 method for signature 'ChiSquared,numeric'
simulate(object, nsim, n, theta, seed = NULL, ...)

Arguments

df	number of degrees of freedom
x	outcome
probs	vector of probabilities
n	sample size
theta	distribution parameter
...	further optional arguments
object	object of class ChiSquared
nsim	number of simulation runs
seed	random seed

See Also

see probability_density_function and cumulative_distribution_function to evaluate the pdf and the cdf, respectively.

Examples

datadist <- ChiSquared(df=4)

adoptr documentation built on Oct. 3, 2024, 1:08 a.m.