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

Source: R/sample_omega.R
sample_omega.Rd

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

Usage

sample_omega(nmRun, n, seed)

Arguments

nmRun

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

n

Number of samples required.

seed

Random seed.

Value

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.

See also

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

Author

Justin Wilkins, justin.wilkins@occams.com

Examples

if (FALSE) { # \dontrun{
 omDist <- sample_omega("run315", 5000, seed=740727)
} # }