c_weight_2: The second derivative of the c-optimality criterion with...
In Opt5PL: Optimal Designs for the 5-Parameter Logistic Model
Description
The second derivative of the c-optimality criterion with respect to the model parameters. This is a sub-function of c_weight to run one iteration of Newton-Raphson method.
Usage
1
c_weight_2(W, T, X, inv, p, order)
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
inv
A numeric matrix. Inverse of the information matrix.
p
A numeric. Define EDp
order
numeric. The number of model paraemters
Opt5PL documentation built on May 2, 2019, 8:26 a.m.
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Description
The second derivative of the c-optimality criterion with respect to the model parameters. This is a sub-function of c_weight to run one iteration of Newton-Raphson method.
Usage
1 | c_weight_2(W, T, X, inv, p, order)
|
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 |
inv |
A numeric matrix. Inverse of the information matrix. |
p |
A numeric. Define EDp |
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.
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