A package for evaluating phenotype algorithms. The package develops a diagnostic prediction model using a set of noisy positives and noisy negatives. It can then apply the model to a large cohort to create a set of subjects each with a predicted probability for the health outcome of interest. This cohort can then be used to evaluate phenotype algorithms through the calculation of the necessary performance characteristics - sensitivity, specificity, and positive and negative preditive value.
|Author||Joel N. Swerdel|
|Maintainer||Joel N. Swerdel <[email protected]>|
|License||Apache License 2.0|
|Package repository||View on GitHub|
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