VRPM (1.2)

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Visualizing Risk Prediction Models.


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.

Maintainer: Vanya Van Belle
Author(s): Vanya Van Belle

License: GPL-3

Uses: fields, ggplot2, Hmisc, kernlab, R2HTML, ROCR, shiny, survival, viridis, mfp, nnet, VGAMdata

Released over 2 years ago.

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