Provides a series of numerical methods for extracting parameters of distributions for risks based on knowing the expected value and c-statistics (e.g., from a published report on the performance of a risk prediction model). This package implements the methodology described in Sadatsafavi et al (2024) <doi:10.48550/arXiv.2409.09178>. The core of the package is mcmap(), which takes a pair of (mean, c-statistic) and the distribution type requested. This function provides a generic interface to more customized functions (mcmap_beta(), mcmap_logitnorm(), mcmap_probitnorm()) for specific distributions.
Package details |
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Author | Mohsen Sadatsafavi [aut, cre] (<https://orcid.org/0000-0002-0419-7862>) |
Maintainer | Mohsen Sadatsafavi <mohsen.sadatsafavi@ubc.ca> |
License | MIT + file LICENSE |
Version | 0.0.11 |
Package repository | View on CRAN |
Installation |
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