R: Risk Assessment Plot and Reclassification Metrics

# Risk Assessment Plot and Reclassification Metrics

## Documentation for package ‘raptools’ version 1.23.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

anova_glm | The function anova_glm() returns the Chi^2 and degrees of freedom for each variable & the same was anova.rms() does from lrm() in the rms package.
CI.classNRI | Statistical metrics and confidence intervals for classes
CI.raplot | Statistical metrics with confidence intervals
data_class | Simple data set with classifications
data_risk | Simple data set with risk predictions
extractCI | Extract confidence interval
extract_NRI_CI | Extract NRI confidence intervals
ggcalibrate | The Calibration plot
ggcalibrate_original | The Original Calibration plot
ggcontribute | The Contribution plot
ggdecision | The Decision curve
ggprerec | The Precision-Recall plot
ggrap | The Risk Assessment Plot
ggroc | The ROC plot
meta.rap | List meta data
statistics.classNRI | Reclassification metrics with classes (ordinals) as inputs
statistics.raplot | Statistical metrics
summary.rap | List risk assessment metrics