Year: 2025
Type: article
Abstract: Correlation-like analysis provides an important statistical measure that describes the size and direction of an association between variables.However, there are few R packages that can efficiently perform this type of analysis on large datasets with mixed data types.The corrp package provides a full suite of solutions for computing various correlation-like measures, such as Pearson correlation (Pearson, 1895), Distance Correlation (Székely et al., 2007), Maximal Information Coefficient (MIC) (Reshef et al., 2011), Predictive Power Score (PPS) (Wetschoreck et al., 2020), Cramér's V (Cramér, 1946), and the Uncertainty Coefficient (Theil, 1972).These methods support the analysis of data frames with mixed classes (integer, numeric, factor, and character).
DOI: 10.21105/joss.07319
Institution: Universidade Federal de Santa Catarina
Language: English
Topic: Data Analysis with R
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410769836