pmxTools (version 1.3)

sample_uncert: Sample from the multivariate normal distribution to generate new sets of parameters from NONMEM output.

Description

Sample from the multivariate normal distribution to generate new sets of parameters from NONMEM output.

Usage

sample_uncert(nmRun, n, seed)

Value

A data frame containing n samples from the multivariate normal distribution, using NONMEM typical parameter estimates the NONMEM variance-covariance matrix (from the *.cov file). This provides n sets of parameter estimates sampled from the uncertainty distribution, suitable for simulation under model uncertainty.

Arguments

nmRun

Root filename for the NONMEM run (e.g. "run315.xml").

n

Number of samples required.

seed

Random seed.

Author

Justin Wilkins,

See Also

NONMEM (https://www.iconplc.com/innovation/nonmem/)

Examples

if (FALSE) {
 nmMatrix <- sample_uncert("run315.xml", 5000, seed=740727)
}