Package: PredictABEL
Title: Assessment of risk prediction models
Version: 1.2
Date: 2011-10-19
Author: Suman Kundu, Yurii S. Aulchenko, A. Cecile J.W. Janssens
Maintainer: Suman Kundu <s.kundu@erasmusmc.nl>, A. Cecile J.W. Janssens
<a.janssens@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 that contains
individual genotype data, estimated genetic risk, and disease
status, used for the evaluation of genetic risk models.
License: GPL (>= 2)
Packaged: 2011-10-19 09:28:23 UTC; lennart
Repository: CRAN
Date/Publication: 2011-10-19 10:07:43

Title: Test Bench for Comparison of Data Prediction Models
Description: Provides a Testbench for comparison of prediction models. This
package is inspired from 'imputeTestbench' package
models with reference to RMSE, MAE or MAPE parameters. It allows to add new
proposed methods to test bench and to compare with other methods. The function
'prediction_append()' allows to add multiple numbers of methods to the existing
Imports: ggplot2, reshape2, PSF, forecast, methods, stats,