sample_uncert: Sample from the multivariate normal distribution to generate...

Description Usage Arguments Value Author(s) See Also Examples

View source: R/sample_uncert.R

Description

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

Usage

1
sample_uncert(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 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.

Author(s)

Justin Wilkins, justin.wilkins@occams.com

See Also

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

Examples

1
2
3
4
## Not run: 
 nmMatrix <- sample_uncert("run315", 5000, seed=740727)

## End(Not run)

pmxTools documentation built on Aug. 27, 2020, 1:10 a.m.