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ModelGood (version 1.0.9)

Validation of risk prediction models

Description

Bootstrap cross-validation for ROC, AUC and Brier score to assess and compare predictions of binary status responses.

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Version

Install

install.packages('ModelGood')

Monthly Downloads

29

Version

1.0.9

License

GPL (>= 2)

Maintainer

Thomas Alexander Gerds

Last Published

November 10th, 2014

Functions in ModelGood (1.0.9)

AutoSelectLRM

Automated backward elemination for logistic regression
click.Roc

Click on ROC curve
Ctree

S3 wrapper function for party's ctree method
ElasticNet

Wrapper function for glmnet
predictStatusProb

Probability Predictions
Sensitivity

Compute sensitivity, specificity and predictive values
calPlot2

Calibration plots for binary data
plot.Roc

ROC curves for risk prediction models
reclass

Risk reclassification table
Roc

Comparing prediction models with Receiver operating characteristics and Brier scores