This class holds all the parameters of the Parallel Adaptive Wang-Landau algorithm that are related to the bins: it includes the functions that take points and return the point locations with respect to the bins, parameters related to the number of bins, the split mechanism, the adaptation rate of the stochastic approximation schedule, etc.
This function takes the result of adaptiveMH or of pawl, and component indices, and draws a 2D density plot with the first component on the x-axis and the second on the y-axis.
This function takes the result of adaptiveMH or of pawl, and component indices, and draws a cloud of points with the first component on the x-axis and the second on the y-axis.
This function provides a convenient way to check whether the target frequencies have been reached. Since new bins can be created during the algorithm, this function aggregates them in the right way so that the user can know if the initial bins (on which the desired frequencies were specified) have been visited enough.
providing 
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