monitor_mmc: Format the optimization method controls
In julienneves/mmc: Maximized Monte Carlo
monitor_mmc R Documentation
Format the optimization method controls
Description
This function provides a way to merge the user specified controls for the
optimization methods with their respective default controls.
Usage
monitor_mmc(object, alpha = NULL, monitor = TRUE)
Arguments
object
A data.frame
alpha
An atomic vector. If mmc finds a
p-value over alpha, then the algorithm will stop. This is particularly
useful if we are only looking at testing a hypothesis at a particular level.
Default is NULL.
monitor
A logical. If set to TRUE, then the p-values at every
iteration and the cumulative maximum p-value are plotted on a graphical device.
Default is FALSE.
Value
A list. Arguments to be used to control the behavior
of the algorithm chosen in method.
julienneves/mmc documentation built on Oct. 11, 2024, 1:06 p.m.
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| monitor_mmc | R Documentation |
Format the optimization method controls
Description
This function provides a way to merge the user specified controls for the optimization methods with their respective default controls.
Usage
monitor_mmc(object, alpha = NULL, monitor = TRUE)
Arguments
object |
A data.frame |
alpha |
An atomic vector. If |
monitor |
A logical. If set to TRUE, then the p-values at every iteration and the cumulative maximum p-value are plotted on a graphical device. Default is FALSE. |
Value
A list. Arguments to be used to control the behavior
of the algorithm chosen in method.
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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