performance: Assessment of Regression Models Performance

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

Daniel Lüdecke • Dominique Makowski • Mattan S. Ben-Shachar • Indrajeet Patil • Philip Waggoner • Brenton M. Wiernik • Rémi Thériault • Vincent Arel-Bundock • Martin Jullum • gjo11 • Etienne Bacher • Joseph Luchman • View description and downloads View dependencies GitHub project

2019 Published

0 Citations

12 Authors

40 Revisions

0.15.3 Version

GPL-3 License

Referenced by ⇅	Year
CR2: Compute Cluster Robust Standard Errors with Degrees of Freedom Adjustments (Version 0.2.1)	2022
ProFAST: Probabilistic Factor Analysis for Spatially-Aware Dimension Reduction (Version 1.7)	2023
bayestestR: Understand and Describe Bayesian Models and Posterior Distributions (Version 0.17.0)	2019
easystats: Framework for Easy Statistical Modeling, Visualization, and Reporting (Version 0.7.5)	2022
modelsummary: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready (Version 2.5.0)	2019
psycModel: Integrated Toolkit for Psychological Analysis and Modeling in R (Version 0.5.0)	2021
sjstats: Collection of Convenient Functions for Common Statistical Computations (Version 0.19.1)	2016
AssumpSure Guidance: (Version )	0
COINr: Composite Indicator Construction and Analysis (Version 1.1.14)	2021
CR2 Adjustments: (Version )	0
JSmediation: Mediation Analysis Using Joint Significance (Version 0.2.3)	2019
MDMA: Mathijs Deen's Miscellaneous Auxiliaries (Version 2.0.0)	2024
MLMusingR: Practical Multilevel Modeling (Version 0.4.0)	2022
MuMIn: Multi-Model Inference (Version 1.48.11)	2010
ProFAST Reduction: (Version )	0
SCDA: Spatially-Clustered Data Analysis (Version 0.0.2)	2024
SynergyLMM: Statistical Framework for in Vivo Drug Combination Studies (Version 1.1.2)	2025
ZLAvian: Zipf's Law of Abbreviation in Animal Vocalisations (Version 0.2.0)	2023
afex: Analysis of Factorial Experiments (Version 1.5-1)	2012
archetyper: An Archetype for Data Mining and Data Science Projects (Version 0.1.0)	2021
bayestestR Distributions: (Version )	0
bruceR: Broadly Useful Convenient and Efficient R Functions (Version 2025.11)	2021
datawizard: Easy Data Wrangling and Statistical Transformations (Version 1.3.0)	2021
dominanceanalysis: Dominance Analysis (Version 2.1.1)	2019
domir: Tools to Support Relative Importance Analysis (Version 1.2.0)	2021
dotwhisker: Dot-and-Whisker Plots of Regression Results (Version 0.8.4)	2015
easystats Reporting: (Version )	0
effectsize: Indices of Effect Size (Version 1.0.1)	2019
ggstatsplot: 'ggplot2' Based Plots with Statistical Details (Version 0.13.4)	2018
insight: Easy Access to Model Information for Various Model Objects (Version 1.4.4)	2019
lme4: Linear Mixed-Effects Models using 'Eigen' and S4 (Version 1.1-38)	2003
modelbased: Estimation of Model-Based Predictions, Contrasts and Means (Version 0.13.1)	2020
multitool: Run Multiverse Style Analyses (Version 0.1.5)	2023
panelsummary: Create Publication-Ready Regression Tables with Panels (Version 0.1.2.1)	2022
parameters: Processing of Model Parameters (Version 0.28.3)	2019
piecewiseSEM: Piecewise Structural Equation Modeling (Version 2.3.1)	2015
pubh: A Toolbox for Public Health and Epidemiology (Version 3.0.0)	2018
rempsyc: Convenience Functions for Psychology (Version 0.2.0)	2022
report: Automated Reporting of Results and Statistical Models (Version 0.6.3)	2021
see: Model Visualisation Toolbox for 'easystats' and 'ggplot2' (Version 0.12.0)	2019
sjPlot: Data Visualization for Statistics in Social Science (Version 2.9.0)	2013
sjstats Computations: (Version )	0
specr: Conducting and Visualizing Specification Curve Analyses (Version 1.0.0)	2020
statsExpressions: Tidy Dataframes and Expressions with Statistical Details (Version 1.7.2)	2019
steppedwedge: Analyze Data from Stepped Wedge Cluster Randomized Trials (Version 1.0.0)	2025

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.