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

Source: R/sample_sigma.R
sample_sigma.Rd

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

Usage

sample_sigma(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 SIGMA variance-covariance matrix. This provides n sets of EPSILON estimates suitable for simulation of new datasets.

See also

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

Author

Justin Wilkins, justin.wilkins@occams.com

Examples

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