sample_sigma function

Sample from the multivariate normal distribution using the SIGMA variance-covariance matrix to generate new sets of simulated EPSILONs from NONMEM output.

sample_sigma(nmRun, n, seed)

Arguments

• nmRun: Root filename for the NONMEM run (e.g. "run315").
• n: Number of samples required.
• seed: Random seed.

Returns

A data frame containing n samples from the multivariate normal distribution, using the estimated NONMEM SIGMA variance-covariance matrix. This provides n sets of EPSILON estimates suitable for simulation of new datasets.

Examples

## Not run:

 sigDist <- sample_sigma("run315", 5000, seed=740727)
## End(Not run)

See Also

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

Author(s)

Justin Wilkins, justin.wilkins@occams.com