testnpde: Tests for normalised prediction distribution errors

In saemix: Stochastic Approximation Expectation Maximization (SAEM) Algorithm

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 [e-mail]

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.

See Also

saemix, saemix.plot.npde

saemix documentation built on May 29, 2024, 10:43 a.m.