We believe that Beagle's difficulties in imputing African datasets arise from properties of its clustering model. It is possible that Beagle could produce better results with different settings, although we tried varying both the model-fitting parameters (niterations, nsamples) and the model-building parameters (scale, shift) without observing a meaningful change in accuracy (data not shown).
