D_weight_2 {Opt5PL} | R Documentation |
The second derivative of the D-optimality criterion w.r.t the model parameters
Description
The second derivative of the D-optimality criterion with respect to the model parameters. This is a sub-function of D_weight to run one iteration of Newton-Raphson method.
Usage
D_weight_2(q, W, T1, T2, T3, X, inv1, inv2, inv3)
Arguments
q |
A numeric vector. User select weights defined in the function RDOPT |
W |
A numeric vector. The first K-1 weights for a given design |
T1 |
A numeric vector. Model parameter values for the 3PL model |
T2 |
A numeric vector. Model parameter values for the 4PL model |
T3 |
A numeric vector. Model parameter values for the 5PL model |
X |
A numeric vector. K dose levels for a given design |
inv1 |
A numeric matrix. Inverse information matrix for the 3PL model |
inv2 |
A numeric matrix. Inverse information matrix for the 4PL model |
inv3 |
A numeric matrix. Inverse information matrix for the 5PL model |
[Package Opt5PL version 0.1.1 Index]