Development of a Comprehensive R Library for Combining Diagnostic Tests
A comprehensive library in R programming language for combining two diagnostic tests using various approaches that includes statistical and machine learning based methodologies. These approaches are divided into four groups: linear combination methods, non-linear combination methods, mathematical operators and machine learning algorithms.