Package: PredictABEL
Title: Assessment of risk prediction models
Version: 1.2-1
Date: 2012-07-22
Author: Suman Kundu, Yurii S. Aulchenko, A. Cecile J.W. Janssens
Maintainer: Suman Kundu <s.kundu@erasmusmc.nl>
Depends: R (>= 2.12.0), Hmisc, ROCR, epitools, PBSmodelling
Suggests: GenABEL
Description: 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.
License: GPL (>= 2)
URL: http://www.genabel.org/packages/PredictABEL
Packaged: 2012-07-26 09:10:03 UTC; 488810
Repository: CRAN
Date/Publication: 2012-07-27 08:59:29

Package: PredictABEL
Title: Assessment of Risk Prediction Models
Version: 1.2-2
Date: 2014-12-20
Author: Suman Kundu, Yurii S. Aulchenko, A. Cecile J.W. Janssens
Maintainer: Suman Kundu <suman_math@yahoo.com>
Depends: R (>= 2.12.0), Hmisc, ROCR, epitools, PBSmodelling
Suggests: GenABEL
Description: 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.
License: GPL (>= 2)
URL: http://www.genabel.org/packages/PredictABEL
Packaged: 2014-12-21 16:20:44 UTC; ripley
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-21 17:55:30