Utility_Classifier: Utility functions for creating diagnostic plots for binary...

In masato-ogishi/Repitope: Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling

Utility functions for creating diagnostic plots for binary classifiers.

Description

Utility functions for creating diagnostic plots for binary classifiers.

Usage

compute_auc(trueClass, predProb)

rocPlot(trueClass, predProb, groups = NA, colors = NA)

prcPlot(trueClass, predProb, groups = NA, colors = NA)

calibPlot(trueClass, predProb, groups = NA, colors = NA)

cumGainPlot(trueClass, predProb, groups = NA, colors = NA)

classifierDiagnosticPlots(
  trueClass,
  predProb,
  groups = NA,
  colors = NA,
  plotTypes = c("ROC", "PRC", "Calibration", "CumGain")
)

Arguments

trueClass	A factor of true class labels.
predProb	A numeric vector of predicted scores etc.
groups	A vector indicating strata. Disable by setting NA.
colors	A set of colors. The length should be the same with the number of groups.
plotTypes	A character vector indicating which types of plots should be generated.

masato-ogishi/Repitope documentation built on Feb. 14, 2023, 5:47 a.m.