VRPM: Visualizing Risk Prediction Models
Version 1.1

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.

Getting started

Package details

AuthorVanya Van Belle
Date of publication2016-09-01 15:41:33
MaintainerVanya Van Belle <vanya.vanbelle@esat.kuleuven.be>
LicenseGPL-3
Version1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("VRPM")

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VRPM documentation built on May 29, 2017, 7:51 p.m.