sample_omega function

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

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

sample_omega(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 OMEGA variance-covariance matrix. This provides n sets of ETA estimates suitable for simulation of new patients.

Examples

## Not run: omDist <- sample_omega("run315", 5000, seed=740727) ## End(Not run)

See Also

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

Author(s)

Justin Wilkins, justin.wilkins@occams.com

  • Maintainer: Justin Wilkins
  • License: GPL-2
  • Last published: 2023-02-21