PredictABEL (1.2-1)

0 users

Assessment of risk prediction models.

http://www.genabel.org/packages/PredictABEL
http://cran.r-project.org/web/packages/PredictABEL

PredictABEL includes 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.

Maintainer: Suman Kundu
Author(s): Suman Kundu, Yurii S. Aulchenko, A. Cecile J.W. Janssens

License: GPL (>= 2)

Uses: epitools, Hmisc, PBSmodelling, ROCR, GenABEL
Reverse suggests: GenABEL

Released over 1 year ago.


2 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of PredictABEL yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for PredictABEL on google, google scholar, r-help, r-devel.

Visit PredictABEL on R Graphical Manual.