normEndp {randomizeR}

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))