correlation: Methods for Correlation Analysis

Canonical link: https://rscholar.com/pkg/correlation

Dominique Makowski • Brenton M. Wiernik • Indrajeet Patil • Daniel Lüdecke • Mattan S. Ben-Shachar • Rémi Thériault • Mark White • Maximilian M. Rabe • View description and downloads View dependencies GitHub project

2020 Published

0.8.6 Version

0 Citations

8 Authors

Referenced by ⇅	Year
effectsize: Indices of Effect Size (Version 0.8.9)	2019
TangledFeatures: Feature Selection in Highly Correlated Spaces (Version 0.1.1)	2023
bullseye: Visualising Multiple Pairwise Variable Correlations and Other Scores (Version 0.1.0)	2024
easystats: Framework for Easy Statistical Modeling, Visualization, and Reporting (Version 0.7.3)	2022
ggstatsplot: 'ggplot2' Based Plots with Statistical Details (Version 0.12.4)	2018
modelbased: Estimation of Model-Based Predictions, Contrasts and Means (Version 0.8.9)	2020
modelsummary: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready (Version 2.2.0)	2019
multitool: Run Multiverse Style Analyses (Version 0.1.4)	2023
performance: Assessment of Regression Models Performance (Version 0.12.4)	2019
popstudy: Applied Techniques to Demographic and Time Series Analysis (Version 1.0.1)	2022
psycModel: Integrated Toolkit for Psychological Analysis and Modeling in R (Version 0.5.0)	2021
rempsyc: Convenience Functions for Psychology (Version 0.1.8)	2022
see: Model Visualisation Toolbox for 'easystats' and 'ggplot2' (Version 0.9.0)	2019
statsExpressions: Tidy Dataframes and Expressions with Statistical Details (Version 1.6.0)	2019

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.