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VRPM (version 1.2)

Visualizing Risk Prediction Models

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.

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Version

Install

install.packages('VRPM')

Monthly Downloads

12

Version

1.2

License

GPL-3

Maintainer

Vanya Belle

Last Published

July 11th, 2017

Functions in VRPM (1.2)

cchart

Contribution chart.
colplot

Visualize a risk prediction model by means of colored bars.
HTMLsummary

Summarize the risk prediction plots.
ccchart

Cumulative contribution chart.
runVRPMexample

Run R Shiny app
plotperf

Performance plots for the approximation of an SVM model.
preplotperf

Preprocess a ksvm object