DD_weight_1: The first derivative of the Ds-optimality criterion with...
In Opt5PL: Optimal Designs for the 5-Parameter Logistic Model
Description
The first derivative of the Ds-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
1
DD_weight_1(W, T, X, inv, inv1, order)
Arguments
W
A numeric vector. The first K-1 weights for a given design
T
A numeric vector. Model parameter values for the 5PL model
X
A numeric vector. K dose levels for a given design
inv
A numeric matrix. Inverse information matrix for the 5PL model
inv1
A numeric matrix. Inverse information matrix for the 4PL model
order
numeric. The number of model paraemters
Opt5PL documentation built on May 2, 2019, 8:26 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
The first derivative of the Ds-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
1 | DD_weight_1(W, T, X, inv, inv1, order)
|
Arguments
W |
A numeric vector. The first K-1 weights for a given design |
T |
A numeric vector. Model parameter values for the 5PL model |
X |
A numeric vector. K dose levels for a given design |
inv |
A numeric matrix. Inverse information matrix for the 5PL model |
inv1 |
A numeric matrix. Inverse information matrix for the 4PL model |
order |
numeric. The number of model paraemters |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.