simParallelEndpoints: Generate Simulated Endpoint Data for Parallel Group Design

In SimTOST: Sample Size Estimation for Bio-Equivalence Trials Through Simulation

Generate Simulated Endpoint Data for Parallel Group Design

Description

Generate simulated endpoint data for a parallel design, with options for normal and lognormal distributions.

Usage

simParallelEndpoints(
  n,
  mu.arithmetic,
  mu.geometric = NULL,
  Sigma,
  CV = NULL,
  seed,
  dist = "normal"
)

Arguments

n	Integer. The sample size for the generated data.
mu.arithmetic	Numeric vector. The arithmetic mean of the endpoints on the original scale.
mu.geometric	Numeric vector. The geometric mean of the endpoints on the original scale. Only used if dist = "lognormal".
Sigma	Matrix. Variance-covariance matrix of the raw data on the original scale. If dist = "lognormal", this matrix is transformed to the log scale.
CV	Numeric vector. Coefficient of variation (CV) of the raw data. Only used when dist = "lognormal", where it is transformed to the log scale.
seed	Integer. Seed for random number generation, ensuring reproducibility.
dist	Character. Assumed distribution of the endpoints: either "normal" or "lognormal".

Value

A matrix of simulated endpoint values for a parallel design, with dimensions n by the number of variables in mu.arithmetic or mu.geometric.

Author(s)

Thomas Debray [e-mail]

SimTOST documentation built on April 3, 2025, 9:05 p.m.