| testnpde {saemix} | R Documentation |
Tests for normalised prediction distribution errors
Description
Performs tests for the normalised prediction distribution errors returned by
npde
Usage
testnpde(npde)
Arguments
npde |
the vector of prediction distribution errors |
Details
Given a vector of normalised prediction distribution errors (npde), this function compares the npde to the standardised normal distribution N(0,1) using a Wilcoxon test of the mean, a Fisher test of the variance, and a Shapiro-Wilks test for normality. A global test is also reported.
The helper functions kurtosis and skewness are called to
compute the kurtosis and skewness of the distribution of the npde.
Value
a list containing 4 components:
Wilcoxon test of
mean=0 |
compares the mean of the npde to 0 using a Wilcoxon test |
variance test |
compares the variance of the npde to 1 using a Fisher test |
SW test of normality |
compares the npde to the normal distribution using a Shapiro-Wilks test |
global test |
an adjusted p-value corresponding to the minimum of the 3 previous p-values multiplied by the number of tests (3), or 1 if this p-value is larger than 1. |
Author(s)
Emmanuelle Comets emmanuelle.comets@inserm.fr
References
K. Brendel, E. Comets, C. Laffont, C. Laveille, and F. Mentr\'e. Metrics for external model evaluation with an application to the population pharmacokinetics of gliclazide. Pharmaceutical Research, 23:2036–49, 2006.