upinfor: Obtain normalized Fisher information matrix
In Opt5PL: Optimal Designs for the 5-Parameter Logistic Model
Description
Obtain normalized Fisher information matrix for the 3, 4, 5PL models.
Usage
1
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 design points for a given design
order
numeric. The number of model paraemters
Opt5PL documentation built on May 2, 2019, 8:26 a.m.
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Description
Obtain normalized Fisher information matrix for the 3, 4, 5PL models.
Usage
1 |
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 design points for a given design |
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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