do.one.experiment: Simulation function for calculate the expected number of...
In proteomicdesign: Optimization of a multi-stage proteomic study
Description
The Monte Carlo simulated objective function for the optim.two.stage.group().
Usage
1
do.one.experiment(initial, optimize = TRUE)
Arguments
initial
The design parameters selected at the current search
optimize
The logical variable for the output: when it is true, the output is the expected number of proteins with the true effects.
proteomicdesign documentation built on May 2, 2019, 5:08 a.m.
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Description
The Monte Carlo simulated objective function for the optim.two.stage.group().
Usage
1 | do.one.experiment(initial, optimize = TRUE)
|
Arguments
initial |
The design parameters selected at the current search |
optimize |
The logical variable for the output: when it is true, the output is the expected number of proteins with the true effects. |
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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