| pdemenu {npde} | R Documentation |
This function can be used to set interactively the arguments needed to compute
the normalised prediction distribution errors. It is called by npde.
pdemenu()
This function is normally not called by the end-user.
namobs |
name of the file containing the observed data |
namsim |
name of the file containing the simulated data |
iid |
number of the column containing the patient ID |
ix |
number of the column containing the independent variable (X) |
iy |
number of the column containing the dependent variable (Y) |
imdv |
number of the column containing information about missing data (MDV), 0 if this column is not present |
boolsave |
a boolean (T if results are to be saved to a file, F if not) |
type.graph |
type of graph (one of "eps","jpeg","png","pdf" |
namegr |
name of the file in which graphs are to be saved |
calc.npde |
a boolean (T if npde are to be computed, F otherwise) |
calc.npd |
a boolean (T if npd are to be computed, F otherwise) |
nameres |
name of the file in which numerical results are to be saved |
output |
a boolean (T if the function should return values, F otherwise) |
verbose |
a boolean (T if messages are to be printed as each subject is processed, F otherwise) |
Emmanuelle Comets <emmanuelle.comets@bichat.inserm.fr>
K. Brendel, E. Comets, C. Laffont, C. Laveille, and F. Mentré. Metrics for external model evaluation with an application to the population pharmacokinetics of gliclazide. Pharmaceutical Research, 23:2036–49, 2006.
## Not run (needs interactive input) # x<-pdemenu()