sample_uncert {pmxTools} | R Documentation |
Sample from the multivariate normal distribution to generate new sets of parameters from NONMEM output.
Description
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.
Author(s)
Justin Wilkins, justin.wilkins@occams.com
See Also
NONMEM (https://www.iconplc.com/innovation/nonmem/)
Examples
## Not run:
nmMatrix <- sample_uncert("run315.xml", 5000, seed=740727)
## End(Not run)
[Package pmxTools version 1.3 Index]