simblock: Generate Random Effect Deviates for Simulation

In metrumrg: Pharmacometric Tools for Data Preparation, Modeling, Simulation, and Reporting

Description

Generate random effect values given the number of simulations, degrees of freedom, and a variance-covariance matrix (block).

Usage

simblock(n, df, cov)

Arguments

n	the number of simulations that will be performed
df	vector of degrees of freedom of block elements
cov	variance-covariance matrix

Details

df and cov should have the same length.

Value

matrix, with one row per simulation and one column per element in the corresponding triangular version of cov.

Author(s)

written by Leonid Gibiansky; modified by Tim Bergsma.

References

http://metrumrg.googlecode.com

See Also

• simpar

metrumrg documentation built on May 2, 2019, 5:55 p.m.