Journal of Statistical Software

Papers
(The H4-Index of Journal of Statistical Software is 25. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-10-01 to 2024-10-01.)
ArticleCitations
Bayesian Item Response Modeling in R with brms and Stan236
cutpointr: Improved Estimation and Validation of Optimal Cutpoints in R208
netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods99
Elastic Net Regularization Paths for All Generalized Linear Models95
Permutation Tests for Regression, ANOVA, and Comparison of Signals: The permuco Package85
Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package60
multimode: An R Package for Mode Assessment60
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations50
The poolr Package for Combining Independent and Dependent p41
stringi: Fast and Portable Character String Processing in R40
sensobol: An R Package to Compute Variance-Based Sensitivity Indices38
qgam: Bayesian Nonparametric Quantile Regression Modeling in R37
Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python33
Efficient Bayesian Structural Equation Modeling in Stan32
modelsummary: Data and Model Summaries in R32
More on Multidimensional Scaling and Unfolding in R: smacof Version 231
Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem30
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models29
Simulating Survival Data Using the simsurv R Package28
FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets28
Regularized Ordinal Regression and the ordinalNet R Package27
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data27
Conditional Model Selection in Mixed-Effects Models with cAIC427
Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol26
AMR: An R Package for Working with Antimicrobial Resistance Data26
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