This function provides a way to merge the user specified controls for the optimization methods with their respective default controls.
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.
Returns
A list. Arguments to be used to control the behavior of the algorithm chosen in method.