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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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1.0.9
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Install
install.packages('ModelGood')
Monthly Downloads
62
Version
1.0.9
License
GPL (>= 2)
Maintainer
Thomas Alexander Gerds
Last Published
November 10th, 2014
Functions in ModelGood (1.0.9)
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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