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.
We included functions to assess the performance of risk models. The package contains functions for the various measures that are used in empirical studies, including univariate and multivariate odds ratios (OR) of the predictors, the c-statistic (or area under the receiver operating characteristic (ROC) curve (AUC)), Hosmer-Lemeshow goodness of fit test, reclassification table, net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Also included are functions to create plots, such as risk distributions, ROC curves, calibration plot, discrimination box plot and predictiveness curves. In addition to functions to assess the performance of risk models, the package includes functions to obtain weighted and unweighted risk scores as well as predicted risks using logistic regression analysis. These logistic regression functions are specifically written for models that include genetic variables, but they can also be applied to models that are based on non-genetic risk factors only. Finally, the package includes function to construct a simulated dataset with genotypes, genetic risks, and disease status for a hypothetical population, which is used for the evaluation of genetic risk models.
Version: | 1.2-4 |
Depends: | R (≥ 2.12.0) |
Imports: | Hmisc, ROCR, PBSmodelling, lazyeval, methods |
Published: | 2020-03-09 |
DOI: | 10.32614/CRAN.package.PredictABEL |
Author: | Suman Kundu, Yurii S. Aulchenko, A. Cecile J.W. Janssens |
Maintainer: | Suman Kundu <suman_math at yahoo.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | PredictABEL results |
Reference manual: | PredictABEL.pdf |
Package source: | PredictABEL_1.2-4.tar.gz |
Windows binaries: | r-devel: PredictABEL_1.2-4.zip, r-release: PredictABEL_1.2-4.zip, r-oldrel: PredictABEL_1.2-4.zip |
macOS binaries: | r-release (arm64): PredictABEL_1.2-4.tgz, r-oldrel (arm64): PredictABEL_1.2-4.tgz, r-release (x86_64): PredictABEL_1.2-4.tgz, r-oldrel (x86_64): PredictABEL_1.2-4.tgz |
Old sources: | PredictABEL archive |
Please use the canonical form https://CRAN.R-project.org/package=PredictABEL 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.