Allocate additional batches for this batched vector.
Allocate additional batches for this batched vector.
the number of additional batches to allocate
Compute the average autocorrelation between all of the batches.
Compute the average autocorrelation between all of the batches. FIX: implement correctly using Rvec methods
Get the batch size.
Get the total length of the batched vector.
Get the number of batches.
Determine if the Confidence Interval (CI) on the grand mean is tight enough.
Determine if the Confidence Interval (CI) on the grand mean is tight enough. FIX: implement correctly using Rvec methods
the cut-off value for CI to be considered tight
Add the given value in the next index position in the batched vector.
Add the given value in the next index position in the batched vector.
the given value to add
Convert the batched vector into a string showing each of the batches.
Convert the batched vector into a string showing each of the batches.
Determine if the batches are sufficiently uncorrelated.
Determine if the batches are sufficiently uncorrelated.
the cut-off value to be considered uncorrelated
This class contains a Random Vector (RVec) for maintaining experimental data in multiple batches and methods for computing statistics on these data. Ex: It may be used to implement the Method of Batch Means (MBM) in simulation.