dsens: Sensitivity function for D-Optimality
In optedr: Calculating Optimal and D-Augmented Designs for Single- and Multi-Factor Models
dsens R Documentation
Sensitivity function for D-Optimality
Description
Calculates the sensitivity function from the gradient vector and the Identity Matrix.
Usage
dsens(grad, M)
Arguments
grad
A function in a single variable that returns the partial derivatives vector of the model.
M
Information Matrix for the sensitivity function.
Value
The sensitivity function as a matrix of single variable.
optedr documentation built on June 23, 2026, 5:07 p.m.
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| dsens | R Documentation |
Sensitivity function for D-Optimality
Description
Calculates the sensitivity function from the gradient vector and the Identity Matrix.
Usage
dsens(grad, M)
Arguments
grad |
A function in a single variable that returns the partial derivatives vector of the model. |
M |
Information Matrix for the sensitivity function. |
Value
The sensitivity function as a matrix of single variable.
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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