Performs tests for the normalised prediction distribution errors returned by
npde
testnpde(npde)a list containing 4 components:
compares the mean of the npde to 0 using a Wilcoxon test
compares the variance of the npde to 1 using a Fisher test
compares the npde to the normal distribution using a Shapiro-Wilks 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.
the vector of prediction distribution errors
Emmanuelle Comets emmanuelle.comets@inserm.fr
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.
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.
saemix, saemix.plot.npde