d_cf: d Score / d c_f
In MatheMax/OptReSample: Computing Optimal Adaptive Designs
Description
d_cf gives the gradient of the score w.r.t. c_f. Mainly needed for c_early
Usage
1
d_cf(parameters, n1, lambda1, lambda2, x)
Arguments
parameters
The parameters (alpha, power, etc.) you want to use for your design
n1
The first-stage sample size
lambda1
The penalization parameter for type one error
lambda2
The penalization parameter for type two error
x
The z-value of the first stage
MatheMax/OptReSample documentation built on May 5, 2019, 8:14 a.m.
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Description
d_cf gives the gradient of the score w.r.t. c_f. Mainly needed for c_early
Usage
1 | d_cf(parameters, n1, lambda1, lambda2, x)
|
Arguments
parameters |
The parameters (alpha, power, etc.) you want to use for your design |
n1 |
The first-stage sample size |
lambda1 |
The penalization parameter for type one error |
lambda2 |
The penalization parameter for type two error |
x |
The z-value of the first stage |
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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