Journal of Statistical Software

Papers
(The TQCC of Journal of Statistical Software is 10. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
cutpointr: Improved Estimation and Validation of Optimal Cutpoints in R169
Bayesian Item Response Modeling in R with brms and Stan155
Permutation Tests for Regression, ANOVA, and Comparison of Signals: The permuco Package59
multimode: An R Package for Mode Assessment53
Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package44
Elastic Net Regularization Paths for All Generalized Linear Models44
netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods43
The poolr Package for Combining Independent and Dependent p30
sensobol: An R Package to Compute Variance-Based Sensitivity Indices28
stringi: Fast and Portable Character String Processing in R28
FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets27
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations27
Efficient Bayesian Structural Equation Modeling in Stan26
Simulating Survival Data Using the simsurv R Package25
Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem25
Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python23
qgam: Bayesian Nonparametric Quantile Regression Modeling in R23
Conditional Model Selection in Mixed-Effects Models with cAIC421
New Frontiers in Bayesian Modeling Using the INLA Package in R21
NeuralSens: Sensitivity Analysis of Neural Networks19
Analysis of Multiplex Social Networks with R19
Applying Meta-Analytic-Predictive Priors with the R Bayesian Evidence Synthesis Tools19
Regularized Ordinal Regression and the ordinalNet R Package19
Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol19
More on Multidimensional Scaling and Unfolding in R: smacof Version 219
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data18
BFpack: Flexible Bayes Factor Testing of Scientific Theories in R18
microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R18
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models18
JointAI: Joint Analysis and Imputation of Incomplete Data in R15
modelsummary: Data and Model Summaries in R15
AMR: An R Package for Working with Antimicrobial Resistance Data15
hetGP: Heteroskedastic Gaussian Process Modeling and Sequential Design in R14
mexhaz: An R Package for Fitting Flexible Hazard-Based Regression Models for Overall and Excess Mortality with a Random Effect13
mosum: A Package for Moving Sums in Change-Point Analysis12
BVAR: Bayesian Vector Autoregressions with Hierarchical Prior Selection in R11
Hierarchical Clustering with Contiguity Constraint in R11
Flexible Scan Statistics for Detecting Spatial Disease Clusters: The rflexscan R Package11
The R Package sentometrics to Compute, Aggregate, and Predict with Textual Sentiment11
Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP10
spsurvey: Spatial Sampling Design and Analysis in R10
The R Package stagedtrees for Structural Learning of Stratified Staged Trees10
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