Display and analyze ROC curves in R and S+

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.

ROC-GLM and calibration analysis for DataSHIELD

woe credit

R-script addaptation of RATEPOL

Recipes for common operations in logistic regression: Data cleaning, ANOVA, ROC, & AUC

Tests and confidence intervals for differences in cross-validated AUC

A repository for sharing code and my various projects

Computationally efficient confidence intervals for cross-validated AUC estimates in R

Cross-validated TML estimates of cross-validated area under the receiver operating characteristic curve

mewto is an R package that allows you to experiment with different thresholds for classification of prediction results in the case of binary classification problems and visualize various model evaluation metrics, confusion matrices and the ROC curve. It also allows you to calculate the optimal threshold based on a weighted evaluation criterion.

Includes a package for rank order clustering and modified rank order clustering proposed by Amruthnath (2016)