Journal of Statistical Software

Papers
(The TQCC of Journal of Statistical Software is 13. 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 2020-11-01 to 2024-11-01.)
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
modelsummary: Data and Model Summaries in R32
Efficient Bayesian Structural Equation Modeling in Stan32
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
FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets28
Simulating Survival Data Using the simsurv R Package28
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data27
Conditional Model Selection in Mixed-Effects Models with cAIC427
Regularized Ordinal Regression and the ordinalNet R Package27
AMR: An R Package for Working with Antimicrobial Resistance Data26
Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol26
mexhaz: An R Package for Fitting Flexible Hazard-Based Regression Models for Overall and Excess Mortality with a Random Effect24
New Frontiers in Bayesian Modeling Using the INLA Package in R24
NeuralSens: Sensitivity Analysis of Neural Networks22
BFpack: Flexible Bayes Factor Testing of Scientific Theories in R22
Applying Meta-Analytic-Predictive Priors with the R Bayesian Evidence Synthesis Tools22
microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R22
Analysis of Multiplex Social Networks with R20
hetGP: Heteroskedastic Gaussian Process Modeling and Sequential Design in R20
Hierarchical Clustering with Contiguity Constraint in R20
evgam: An R Package for Generalized Additive Extreme Value Models19
JointAI: Joint Analysis and Imputation of Incomplete Data in R19
BVAR: Bayesian Vector Autoregressions with Hierarchical Prior Selection in R18
spsurvey: Spatial Sampling Design and Analysis in R18
The R Package sentometrics to Compute, Aggregate, and Predict with Textual Sentiment15
Flexible Scan Statistics for Detecting Spatial Disease Clusters: The rflexscan R Package15
The R Package stagedtrees for Structural Learning of Stratified Staged Trees14
mosum: A Package for Moving Sums in Change-Point Analysis14
Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP13
tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot213
Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package13
0.37258100509644