R Package Scholar
27,676
Referenced by ⇅ Year
see: Model Visualisation Toolbox for 'easystats' and 'ggplot2' (Version 0.9.0)

2019
sjPlot: Data Visualization for Statistics in Social Science (Version 2.8.16)

2013
sjlabelled: Labelled Data Utility Functions (Version 1.2.0)

2017
sjmisc: Data and Variable Transformation Functions (Version 2.8.10)

2015
sjstats: Collection of Convenient Functions for Common Statistical Computations (Version 0.19.0)

2016
bayestestR: Understand and Describe Bayesian Models and Posterior Distributions (Version 0.15.0)

2019
correlation: Methods for Correlation Analysis (Version 0.8.6)

2020
easystats: Framework for Easy Statistical Modeling, Visualization, and Reporting (Version 0.7.3)

2022
effectsize: Indices of Effect Size (Version 0.8.9)

2019
ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 1.7.2)

2017
ggstatsplot: 'ggplot2' Based Plots with Statistical Details (Version 0.12.5)

2018
insight: Easy Access to Model Information for Various Model Objects (Version 0.20.5)

2019
modelbased: Estimation of Model-Based Predictions, Contrasts and Means (Version 0.8.9)

2020
parameters: Processing of Model Parameters (Version 0.23.0)

2019
performance: Assessment of Regression Models Performance (Version 0.12.4)

2019
rempsyc: Convenience Functions for Psychology (Version 0.1.8)

2022
report: Automated Reporting of Results and Statistical Models (Version 0.5.9)

2021
statsExpressions: Tidy Dataframes and Expressions with Statistical Details (Version 1.6.1)

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.

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