Display and analyze ROC curves in R

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.

R-script addaptation of RATEPOL

R package 'wROC'. Estimation of the ROC curve and AUC with complex survey data.

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

A repository for sharing code and my various projects

ROC Analysis with Diagnostic Accuracy Tools for Jamovi

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

Tests and confidence intervals for differences in cross-validated AUC

ROC-GLM and calibration analysis for DataSHIELD

This is a tutorial analysing a fake study. The tutorial is aimed at people broadly familiar with basic stats, but who need a hand adapting this to R, and who are motivated to learn to code in R. More specifically, it looks at participant characteristics/descriptive stats, basic hypothesis testing, logistic regression, and ROC curve analysis

An R package providing a function and an interactive Shiny app to compute diagnostic accuracy metrics, ROC analyses, optimal thresholds, and publication-ready visualizations for binary and continuous tests.

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

Bioinformatics consultancy on MS-MLPA data analysis | Consultoria em Bioinformática para análise de dados de MS-MLPA

University of Tehran - Spring 2020

BEGINNER - This is a classification project for the subject "Data Mining" in the 3rd year of Statistics (SSE) at the University of Milano-Bicocca.