R Package Scholar
27,142
Referenced by ⇅ Year
DImodelsVis: Visualising and Interpreting Statistical Models Fit to Compositional Data (Version 1.0.1)

2024
MuMIn: Multi-Model Inference (Version 1.48.4)

2010
SimplyAgree: Flexible and Robust Agreement and Reliability Analyses (Version 0.2.0)

2021
ale: Interpretable Machine Learning and Statistical Inference with Accumulated Local Effects (ALE) (Version 0.3.0)

2023
bayestestR: Understand and Describe Bayesian Models and Posterior Distributions (Version 0.15.0)

2019
bsitar: Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis (Version 0.2.1)

2023
clarify: Simulation-Based Inference for Regression Models (Version 0.2.1)

2023
clinicalsignificance: A Toolbox for Clinical Significance Analyses in Intervention Studies (Version 2.0.0)

2022
correlation: Methods for Correlation Analysis (Version 0.8.6)

2020
cv: Cross-Validating Regression Models (Version 2.0.3)

2023
datawizard: Easy Data Wrangling and Statistical Transformations (Version 0.13.0)

2021
easystats: Framework for Easy Statistical Modeling, Visualization, and Reporting (Version 0.7.3)

2022
effects: Effect Displays for Linear, Generalized Linear, and Other Models (Version 4.2-2)

2003
effectsize: Indices of Effect Size (Version 0.8.9)

2019
ggDoE: Modern Graphs for Design of Experiments with 'ggplot2' (Version 0.8)

2022
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
gtsummary: Presentation-Ready Data Summary and Analytic Result Tables (Version 2.0.3)

2019
insurancerating: Analytic Insurance Rating Techniques (Version 0.7.5)

2019
ivreg: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics (Version 0.6-4)

2020
lavaanExtra: Convenience Functions for Package 'lavaan' (Version 0.2.1)

2022
marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.23.0)

2021
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
multilevelcoda: Estimate Bayesian Multilevel Models for Compositional Data (Version 1.3.0.2)

2023
mvgam: Multivariate (Dynamic) Generalized Additive Models (Version 1.1.3)

2024
parameters: Processing of Model Parameters (Version 0.23.0)

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

2019
psycModel: Integrated Toolkit for Psychological Analysis and Modeling in R (Version 0.5.0)

2021
psycho: Efficient and Publishing-Oriented Workflow for Psychological Science (Version 0.6.1)

2017
randomizeR: Randomization for Clinical Trials (Version 3.0.2)

2015
regressinator: Simulate and Diagnose (Generalized) Linear Models (Version 0.2.0)

2023
rempsyc: Convenience Functions for Psychology (Version 0.1.8)

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

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

2019
tidygam: Tidy Prediction and Plotting of Generalised Additive Models (Version 0.2.0)

2023

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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