The Nonparametric Adaptive Grid Algorithm for Population Pharmacokinetic Modeling

The nonparametric adaptive grid (NPAG) algorithm is described. NPAG is a pri-mal dual interior point method for determining the nonparametric maximum like-lihood distribution of random parameters for a nonlinear regression model. In pharmacokinetic (PK) population modeling, NPAG is useful for the case where a series of measurements are made on diverse individuals, distinguished by diverse measurement conditions. This paper includes sufficient mathematical background and program detail to allow computational scientists to translate NPAG from P