Journal of Statistical Software

Papers
(The median citation count of Journal of Statistical Software is 3. 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
Elastic Net Regularization Paths for All Generalized Linear Models44
Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package44
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
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations27
FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets27
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
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models18
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
AMR: An R Package for Working with Antimicrobial Resistance Data15
JointAI: Joint Analysis and Imputation of Incomplete Data in R15
modelsummary: Data and Model Summaries in R15
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
The R Package sentometrics to Compute, Aggregate, and Predict with Textual Sentiment11
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 stagedtrees for Structural Learning of Stratified Staged Trees10
Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP10
spsurvey: Spatial Sampling Design and Analysis in R10
svars: An R Package for Data-Driven Identification in Multivariate Time Series Analysis9
evgam: An R Package for Generalized Additive Extreme Value Models9
GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language9
SeqNet: An R Package for Generating Gene-Gene Networks and Simulating RNA-Seq Data8
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)8
Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package8
Subgroup Identification Using the personalized Package8
BNPmix: An R Package for Bayesian Nonparametric Modeling via Pitman-Yor Mixtures7
D-STEM v2: A Software for Modeling Functional Spatio-Temporal Data7
Bayesian Multivariate Spatial Models for Lattice Data with INLA7
Data Validation Infrastructure for R7
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation7
covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas6
Robust Mediation Analysis: The R Package robmed6
tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot26
BAMBI: An R Package for Fitting Bivariate Angular Mixture Models6
logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations6
Informed Bayesian Inference for the A/B Test6
Modeling Population Growth in R with the biogrowth Package6
exuber: Recursive Right-Tailed Unit Root Testing with R5
Statistical Network Analysis with Bergm5
spNNGP R Package for Nearest Neighbor Gaussian Process Models5
Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG5
The adoptr Package: Adaptive Optimal Designs for Clinical Trials in R5
The JuliaConnectoR: A Functionally-Oriented Interface for Integrating Julia in R4
subtee: An R Package for Subgroup Treatment Effect Estimation in Clinical Trials4
Optimal Design Generation and Power Evaluation in R: The skpr Package4
The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories4
IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping4
Ball: An R Package for Detecting Distribution Difference and Association in Metric Spaces4
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R4
Data Science in Stata 16: Frames, Lasso, and Python Integration4
Blang: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua4
Dimension Reduction for Time Series in a Blind Source Separation Context Using R3
econet: An R Package for Parameter-Dependent Network Centrality Measures3
Sequential Monte Carlo Methods in the nimble and nimbleSMC R Packages3
calculus: High-Dimensional Numerical and Symbolic Calculus in R3
dalmatian: A Package for Fitting Double Hierarchical Linear Models in R via JAGS and nimble3
BayesSUR: An R Package for High-Dimensional Multivariate Bayesian Variable and Covariance Selection in Linear Regression3
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood3
Inference Tools for Markov Random Fields on Lattices: The R Package mrf2d3
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach3
lpdensity: Local Polynomial Density Estimation and Inference3
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