Journal of Statistical Software

Papers
(The median citation count of Journal of Statistical Software is 4. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Learning Base R (2nd Edition)365
Emulation and History Matching Using the hmer Package288
Exploring Data Subsets with vtree150
fairadapt: Causal Reasoning for Fair Data Preprocessing128
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package83
The poolr Package for Combining Independent and Dependent p Values83
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding67
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset66
Spbsampling: An R Package for Spatially Balanced Sampling65
GET: Global Envelopes in R62
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials57
ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models52
Birth-and-Death Processes in Python: The BirDePy Package51
pymle: A Python Package for Maximum Likelihood Estimation and Simulation of Stochastic Differential Equations49
spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models42
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R41
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models41
stopp: An R Package for Spatio-Temporal Point Pattern Analysis34
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R32
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Ra27
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations26
More on Multidimensional Scaling and Unfolding in R: smacof Version 226
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model24
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R23
sparsegl: An R Package for Estimating Sparse Group Lasso20
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK20
Estimating Spatial Dynamic Panel Data Models with Unobserved Common Factors in Stata18
NUBO: A Transparent Python Package for Bayesian Optimization18
How to Interpret Statistical Models Using marginaleffects for R and Python18
Holistic Generalized Linear Models17
TSCI: Two Stage Curvature Identification for Causal Inference with Invalid Instruments in R17
Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web17
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series16
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R16
calculus: High-Dimensional Numerical and Symbolic Calculus in R16
dame-flame: A Python Package Providing Fast Interpretable Matching for Causal Inference15
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments15
GMM Estimators for Binary Spatial Models in R15
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs13
Additive Bayesian Network Modeling with the R Package abn12
mdendro: An R Package for Extended Agglomerative Hierarchical Clustering12
Modeling Population Growth in R with the biogrowth Package11
Split-Apply-Combine with Dynamic Grouping11
Elastic Net Regularization Paths for All Generalized Linear Models11
rags2ridges: A One-Stop- 2 10
Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo10
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes10
tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot210
Optimum Allocation for Adaptive Multi-Wave Sampling in R: The R Package optimall9
A Practitioner's Guide and MATLAB Toolbox for Mixed Frequency State Space Models9
anomaly: Detection of Anomalous Structure in Time Series Data8
spNNGP R Package for Nearest Neighbor Gaussian Process Models8
Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS8
exuber: Recursive Right-Tailed Unit Root Testing with R8
Blang: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua7
Benchpress : A Versatile Platform for Structure Learning in Causal and Probabilistic Graphical Models7
Stability Selection and Consensus Clustering in R: The R Package sharp7
Broken Stick Model for Irregular Longitudinal Data7
BayesMortalityPlus: A Package in R for Bayesian Mortality Modeling7
MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso7
Panel Data Visualization in R (panelView) and Stata (panelview)6
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood6
GLMcat: An R Package for Generalized Linear Models for Categorical Responses6
Mixed-Effects Additive Transformation Models with the R Package tramME6
ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families5
Doing Meta-Analysis with R - A Hands-On Guide5
scikit-fda: A Python Package for Functional Data Analysis5
lpdensity: Local Polynomial Density Estimation and Inference5
econet: An R Package for Parameter-Dependent Network Centrality Measures5
Hierarchical Clustering with Contiguity Constraint in R5
AMR: An R Package for Working with Antimicrobial Resistance Data4
Monotone Regression: A Simple and Fast O(n) PAVA Implementation4
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression4
The R Package tipsae: Tools for Mapping Proportions and Indicators on the Unit Interval4
Interpreting Deep Neural Networks with the Package innsight4
GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language4
Multivariate Normal Variance Mixtures in R: The R Package nvmix4
Extremes.jl: Extreme Value Analysis in Julia4
logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations4
jti and sparta: Time and Space Efficient Packages for Model-Based Prediction in Large Bayesian Networks4
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