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 2020-08-01 to 2024-08-01.)
ArticleCitations
Bayesian Item Response Modeling in R with brms and Stan215
cutpointr: Improved Estimation and Validation of Optimal Cutpoints in R197
Elastic Net Regularization Paths for All Generalized Linear Models83
netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods79
Permutation Tests for Regression, ANOVA, and Comparison of Signals: The permuco Package77
multimode: An R Package for Mode Assessment59
Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package58
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations43
stringi: Fast and Portable Character String Processing in R39
sensobol: An R Package to Compute Variance-Based Sensitivity Indices37
The poolr Package for Combining Independent and Dependent p35
qgam: Bayesian Nonparametric Quantile Regression Modeling in R33
Efficient Bayesian Structural Equation Modeling in Stan32
Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python32
Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem30
More on Multidimensional Scaling and Unfolding in R: smacof Version 229
modelsummary: Data and Model Summaries in R28
Simulating Survival Data Using the simsurv R Package28
Conditional Model Selection in Mixed-Effects Models with cAIC427
Regularized Ordinal Regression and the ordinalNet R Package27
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models27
Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol26
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data26
FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets25
AMR: An R Package for Working with Antimicrobial Resistance Data24
New Frontiers in Bayesian Modeling Using the INLA Package in R23
NeuralSens: Sensitivity Analysis of Neural Networks23
mexhaz: An R Package for Fitting Flexible Hazard-Based Regression Models for Overall and Excess Mortality with a Random Effect23
microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R22
BFpack: Flexible Bayes Factor Testing of Scientific Theories in R22
Applying Meta-Analytic-Predictive Priors with the R Bayesian Evidence Synthesis Tools21
Analysis of Multiplex Social Networks with R19
JointAI: Joint Analysis and Imputation of Incomplete Data in R18
Hierarchical Clustering with Contiguity Constraint in R18
BVAR: Bayesian Vector Autoregressions with Hierarchical Prior Selection in R18
hetGP: Heteroskedastic Gaussian Process Modeling and Sequential Design in R18
spsurvey: Spatial Sampling Design and Analysis in R17
The R Package sentometrics to Compute, Aggregate, and Predict with Textual Sentiment15
Flexible Scan Statistics for Detecting Spatial Disease Clusters: The rflexscan R Package15
mosum: A Package for Moving Sums in Change-Point Analysis14
The R Package stagedtrees for Structural Learning of Stratified Staged Trees14
evgam: An R Package for Generalized Additive Extreme Value Models14
Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package13
Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP13
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