## CompareTests: Estimate diagnostic accuracy (sensitivity, specificity, etc) and
agreement statistics when one test is conducted on only a
subsample of specimens

A standard test is observed on all specimens. We treat
the second test (or sampled test) as being conducted on only a
stratified sample of specimens. We treat the total sample as
stratified two-phase sampling and use inverse probability
weighting. We estimate diagnostic accuracy (category-specific
classification probabilities; for binary tests reduces to
specificity and sensitivity) and agreement statistics (percent
agreement, percent agreement by category, Kappa (unweighted),
and symmetry tests (reduces to McNemar's test for binary
tests)).

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