err: Evaluate the deviation of the desired error constraints
In MatheMax/OptReSample: Computing Optimal Adaptive Designs
Description
Usage
Arguments
Details
Value
Description
err approximates the deviation of a design implemented with lambda1 and lambda2 of the error constraints that
were specified in parameters.
Usage
1
err(parameters, lambda1, lambda2)
Arguments
parameters
Parameters specifying your design
lambda1
Penalization parameter for type I error
lambda2
Penalization parameter for type II error
Details
This is a numerical approxmiation to allow a faster search for the correct lambda-values.
find_lambda is based on this function.
Value
A two-dimensional vector which gives the deviation of type I resp. type II error.
MatheMax/OptReSample documentation built on May 5, 2019, 8:14 a.m.
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Description Usage Arguments Details Value
Description
err approximates the deviation of a design implemented with lambda1 and lambda2 of the error constraints that
were specified in parameters.
Usage
1 | err(parameters, lambda1, lambda2)
|
Arguments
parameters |
Parameters specifying your design |
lambda1 |
Penalization parameter for type I error |
lambda2 |
Penalization parameter for type II error |
Details
This is a numerical approxmiation to allow a faster search for the correct lambda-values. find_lambda is based on this function.
Value
A two-dimensional vector which gives the deviation of type I resp. type II error.
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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