mcmapper: Mapping First Moment and C-Statistic to the Parameters of Distributions for Risk

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.

Version:	0.0.11
Published:	2024-11-04
Author:	Mohsen Sadatsafavi [aut, cre]
Maintainer:	Mohsen Sadatsafavi <mohsen.sadatsafavi at ubc.ca>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	mcmapper results

Documentation:

Reference manual:

mcmapper.html , mcmapper.pdf

Downloads:

Package source:	mcmapper_0.0.11.tar.gz
Windows binaries:	r-devel: mcmapper_0.0.11.zip, r-release: mcmapper_0.0.11.zip, r-oldrel: mcmapper_0.0.11.zip
macOS binaries:	r-release (arm64): mcmapper_0.0.11.tgz, r-oldrel (arm64): mcmapper_0.0.11.tgz, r-release (x86_64): mcmapper_0.0.11.tgz, r-oldrel (x86_64): mcmapper_0.0.11.tgz

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