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

Source: R/sample_uncert.R
sample_uncert.Rd

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

Usage

sample_uncert(nmRun, n, seed)

Arguments

nmRun

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

n

Number of samples required.

seed

Random 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.

See also

NONMEM (https://www.iconplc.com/solutions/technologies/nonmem)

Author

Justin Wilkins, justin.wilkins@occams.com

Examples

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