normEndp: Representation of normally distributed endpoints

In randomizeR: Randomization for Clinical Trials

Representation of normally distributed endpoints

Description

Represents normally distributed endpoints in clinical trials.

Usage

normEndp(mu, sigma)

Arguments

mu	vector of the expected responses of the treatment groups, should have length K (i.e. one entry for each treatment group).
sigma	vector of the standard deviations in each treatment group, should have length K (i.e. one entry for each treatment group).

Details

The normEnd function is a constructor function for an S4 object of the class normEnd representing a normally distributed endpoint in a clinical trial. In conjunction with the assess function, normal endpoints admit the calculation of the exact type-I-error probability and power.

Value

A S4 object that represents a normally distributed endpoint in a clinical trial

See Also

Compute exact or simulated type-I-error: assess.

Other endpoint types: expEndp, survEndp

Examples

# set the parameters of two normally distributed endpoints
endp <- normEndp(mu = c(1, 2), sigma = c(1, 1))

randomizeR documentation built on Sept. 19, 2023, 1:08 a.m.