The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

riskclustr: Functions to Study Etiologic Heterogeneity

A collection of functions related to the study of etiologic heterogeneity both across disease subtypes and across individual disease markers. The included functions allow one to quantify the extent of etiologic heterogeneity in the context of a case-control study, and provide p-values to test for etiologic heterogeneity across individual risk factors. Begg CB, Zabor EC, Bernstein JL, Bernstein L, Press MF, Seshan VE (2013) <doi:10.1002/sim.5902>.

Version: 0.4.1
Depends: R (≥ 4.0)
Imports: mlogit, stringr, Matrix
Suggests: testthat, covr, rmarkdown, dplyr, knitr, usethis, spelling
Published: 2024-01-18
Author: Emily C. Zabor [aut, cre]
Maintainer: Emily C. Zabor <zabore2 at ccf.org>
BugReports: https://github.com/zabore/riskclustr/issues
License: GPL-2
URL: https://www.emilyzabor.com/riskclustr/, https://github.com/zabore/riskclustr
NeedsCompilation: no
Language: en-US
Citation: riskclustr citation info
Materials: README NEWS
CRAN checks: riskclustr results

Documentation:

Reference manual: riskclustr.pdf
Vignettes: Tutorial: Estimate the extent of etiologic heterogeneity
Contribute to 'riskclustr'
Tutorial: Test for etiologic heterogeneity in a case-control study
Tutorial: Obtain an overall p-value for a factor variable
Tutorial: Identify the optimal D subtype solution

Downloads:

Package source: riskclustr_0.4.1.tar.gz
Windows binaries: r-devel: riskclustr_0.4.1.zip, r-release: riskclustr_0.4.1.zip, r-oldrel: riskclustr_0.4.1.zip
macOS binaries: r-release (arm64): riskclustr_0.4.1.tgz, r-oldrel (arm64): riskclustr_0.4.1.tgz, r-release (x86_64): riskclustr_0.4.1.tgz, r-oldrel (x86_64): riskclustr_0.4.1.tgz
Old sources: riskclustr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=riskclustr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.