R Package Scholar
26,500
Referenced by ⇅ Year
AICcmodavg: Model Selection and Multimodel Inference Based on (Q)AIC(c) (Version 2.3-3)

2009
DEGRE: Inferring Differentially Expressed Genes using Generalized Linear Mixed Models (Version 0.2.0)

2022
DHARMa: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models (Version 0.4.7)

2016
GLMMcosinor: Fit a Cosinor Model Using a Generalised Mixed Modelling Framework (Version 0.2.0)

2024
LongDat: A Tool for 'Covariate'-Sensitive Longitudinal Analysis on 'omics' Data (Version 1.1.2)

2022
MOCHA: Modeling for Single-Cell Open Chromatin Analysis (Version 1.1.0)

2022
MuMIn: Multi-Model Inference (Version 1.48.4)

2010
RVAideMemoire: Testing and Plotting Procedures for Biostatistics (Version 0.9-83-7)

2011
WeMix: Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation (Version 4.0.3)

2018
afex: Analysis of Factorial Experiments (Version 1.4-1)

2012
bayestestR: Understand and Describe Bayesian Models and Posterior Distributions (Version 0.15.0)

2019
broom.helpers: Helpers for Model Coefficients Tibbles (Version 1.17.0)

2020
broom.mixed: Tidying Methods for Mixed Models (Version 0.2.9.6)

2018
buildmer: Stepwise Elimination and Term Reordering for Mixed-Effects Regression (Version 2.11)

2019
cv: Cross-Validating Regression Models (Version 2.0.3)

2023
easystats: Framework for Easy Statistical Modeling, Visualization, and Reporting (Version 0.7.3)

2022
ecostats: Code and Data Accompanying the Eco-Stats Text (Warton 2022) (Version 1.2.1)

2020
eyetrackingR: Eye-Tracking Data Analysis (Version 0.2.1)

2015
ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 1.7.2)

2017
glmertree: Generalized Linear Mixed Model Trees (Version 0.2-5)

2017
glmmSeq: General Linear Mixed Models for Gene-Level Differential Expression (Version 0.5.5)

2021
gmvjoint: Joint Models of Survival and Multivariate Longitudinal Data (Version 0.4.5)

2022
gratia: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv' (Version 0.9.2)

2019
iccCounts: Intraclass Correlation Coefficient for Count Data (Version 1.1.2)

2021
insight: Easy Access to Model Information for Various Model Objects (Version 0.20.5)

2019
lefko3: Historical and Ahistorical Population Projection Matrix Analysis (Version 6.3.1)

2020
marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.23.0)

2021
mecoturn: Decipher Microbial Turnover along a Gradient (Version 0.3.0)

2023
metafor: Meta-Analysis Package for R (Version 4.6-0)

2009
mitml: Tools for Multiple Imputation in Multilevel Modeling (Version 0.4-5)

2015
mmrm: Mixed Models for Repeated Measures (Version 0.3.14)

2022
modelbased: Estimation of Model-Based Predictions, Contrasts and Means (Version 0.8.9)

2020
multcomp: Simultaneous Inference in General Parametric Models (Version 1.4-26)

2002
ordbetareg: Ordered Beta Regression Models with 'brms' (Version 0.7.2)

2022
parameters: Processing of Model Parameters (Version 0.23.0)

2019
pastaPlot: Spaghetti-Plot Fixed and Random Effects of Linear Mixed Models (Version 0.1.0)

2024
pdR: Threshold Model and Unit Root Tests in Cross-Section and Time Series Data (Version 1.9.3)

2014
performance: Assessment of Regression Models Performance (Version 0.12.4)

2019
permutes: Permutation Tests for Time Series Data (Version 2.8)

2019
predictmeans: Predicted Means for Linear and Semiparametric Models (Version 1.1.0)

2014
qra: Quantal Response Analysis for Dose-Mortality Data (Version 0.2.7)

2021
sdmTMB: Spatial and Spatiotemporal SPDE-Based GLMMs with 'TMB' (Version 0.6.0)

2023
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
texreg: Conversion of R Regression Output to LaTeX or HTML Tables (Version 1.39.4)

2012
tramME: Transformation Models with Mixed Effects (Version 1.0.6)

2020
twosigma: DE Analysis for Single-Cell RNA-Sequencing Data (Version 1.0.2)

2021

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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