One iteration to run Newton Raphson to get D-optimal weights
One iteration to run Newton Raphson to get D-optimal weights
This is a sub-part of running Newton Raphon method to search D-optimal weights for the given design points. This is function probvides the obtained D-optimal weights after one iteration of Newton Raphson method.
D_weight(W, T, X, d, q)
Arguments
W: A numeric vector. The first K-1 weights for a given design
T: A numeric vector. Model parameter values
X: A numeric vector. K dose levels for a given design
d: Numeric. Step adjustment
q: A numeric vector. User select weights defined in the function RDOPT