Package: VRPM
Type: Package
Title: Visualizing Risk Prediction Models
Version: 1.2
Date: 2017-07-11
Author: Vanya Van Belle
Maintainer: Vanya Van Belle <vanya.vanbelle@esat.kuleuven.be>
Description: This is a package to visualize risk prediction models. For each
    predictor, a color bar represents the contribution to the linear predictor or
    latent variable. A conversion from the linear predictor to the estimated risk
    or survival is also given. (Cumulative) contribution charts enable to visualize
    how the estimated risk for one particular observation is obtained by the model.
    Several options allow to choose different color maps, and to select the zero
    level of the contributions. The package is able to deal with 'glm', 'coxph',
    'mfp', 'multinom' and 'ksvm' objects. For 'ksvm' objects, the visualization
    is not always exact. Functions providing tools to indicate the accuracy of the
    approximation are provided in addition to the visualization.
Imports: Hmisc, survival, fields, R2HTML, viridis, kernlab, ROCR,
        ggplot2, shiny, methods, stats, grDevices, graphics, utils
Suggests: mfp, VGAMdata, nnet
License: GPL-3
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-07-11 09:01:33 UTC; vanya
Repository: CRAN
Date/Publication: 2017-07-11 10:42:14 UTC
Built: R 3.4.4; ; 2019-04-25 22:16:03 UTC; windows
