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.
Package details |
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Author | Joel N. Swerdel |
Maintainer | Joel N. Swerdel <[email protected]> |
License | Apache License 2.0 |
Version | 1.0.1 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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