Validation of risk prediction models

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Documentation for package ‘ModelGood’ version 1.0.9

• DESCRIPTION file.

Help Pages

AutoSelectLRM	Automated backward elemination for logistic regression
Brier	Comparing prediction models with Receiver operating characteristics and Brier scores
Brier.glm	Comparing prediction models with Receiver operating characteristics and Brier scores
Brier.list	Comparing prediction models with Receiver operating characteristics and Brier scores
Brier.lrm	Comparing prediction models with Receiver operating characteristics and Brier scores
Brier.randomForest	Comparing prediction models with Receiver operating characteristics and Brier scores
Brier.rpart	Comparing prediction models with Receiver operating characteristics and Brier scores
calPlot2	Calibration plots for binary data
click.Roc	Click on ROC curve
Ctree	S3 wrapper function for party's ctree method
Diagnose	Compute sensitivity, specificity and predictive values
ElasticNet	Wrapper function for glmnet
NPV	Compute sensitivity, specificity and predictive values
plot.Roc	ROC curves for risk prediction models
PPV	Compute sensitivity, specificity and predictive values
predictStatusProb	Probability Predictions
predictStatusProb.default	Probability Predictions
predictStatusProb.glm	Probability Predictions
predictStatusProb.lrm	Probability Predictions
predictStatusProb.numeric	Probability Predictions
predictStatusProb.randomForest	Probability Predictions
predictStatusProb.rfsrc	Probability Predictions
predictStatusProb.rpart	Probability Predictions
reclass	Risk reclassification table
Roc	Comparing prediction models with Receiver operating characteristics and Brier scores
Roc.glm	Comparing prediction models with Receiver operating characteristics and Brier scores
Roc.list	Comparing prediction models with Receiver operating characteristics and Brier scores
Roc.lrm	Comparing prediction models with Receiver operating characteristics and Brier scores
Roc.randomForest	Comparing prediction models with Receiver operating characteristics and Brier scores
Roc.rpart	Comparing prediction models with Receiver operating characteristics and Brier scores
Sensitivity	Compute sensitivity, specificity and predictive values
Specificity	Compute sensitivity, specificity and predictive values