ParaAIC {bear}R Documentation

Akaike information criterion (AIC) method for parallel study

Description

This method selects data points to estimate lambda(z) based on the minimun AIC values. It starts with the last three data points from the concentration -time profile, performing log-linear regression to calculate the slope of that tail portion of the concentration-time curve. And then the last 4 data points, the last 5 data points, on and on until it reaches the data point right after Cmax. Thus, this method will not include the data point of (Tmax, Cmax).


[Package bear version 2.3.0 Index]