Package index • raptools

Main Functions

Primary functions for risk assessment and reclassification

ggrap(): The Risk Assessment Plot

ggdecision(): The Decision curve

ggcalibrate(): The Calibration plot

ggroc(): The ROC plot

ggprerec(): The Precision-Recall plot

ggcontribute(): The Contribution plot

meta.rap(): List meta data

summary(<rap>): List risk assessment metrics

Classification Metrics

Functions for calculating reclassification metrics

CI.classNRI(): Statistical metrics and confidence intervals for classes

CI.raplot(): Statistical metrics with confidence intervals

statistics.classNRI(): Reclassification metrics with classes (ordinals) as inputs

statistics.raplot(): Statistical metrics

extractCI(): Extract confidence interval

extract_NRI_CI(): Extract NRI confidence intervals

Data and Utilities

Example datasets and utility functions

data_class: Simple data set with classifications

data_risk: Simple data set with risk predictions

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.

ggcalibrate_original(): The Original Calibration plot