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 2021-09-01 to 2025-09-01.)
ArticleCitations
Learning Base R (2nd Edition)309
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package250
Emulation and History Matching Using the hmer Package113
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding109
The poolr Package for Combining Independent and Dependent p Values79
fairadapt: Causal Reasoning for Fair Data Preprocessing75
Spbsampling: An R Package for Spatially Balanced Sampling61
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials59
ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models58
Birth-and-Death Processes in Python: The BirDePy Package56
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset54
GET: Global Envelopes in R46
spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models45
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models38
More on Multidimensional Scaling and Unfolding in R: smacof Version 238
stopp: An R Package for Spatio-Temporal Point Pattern Analysis32
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Ra30
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R27
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations27
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R23
pymle: A Python Package for Maximum Likelihood Estimation and Simulation of Stochastic Differential Equations22
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model21
sparsegl: An R Package for Estimating Sparse Group Lasso20
Estimating Spatial Dynamic Panel Data Models with Unobserved Common Factors in Stata19
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R19
Holistic Generalized Linear Models18
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK18
How to Interpret Statistical Models Using marginaleffects for R and Python17
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series17
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R16
Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web16
GMM Estimators for Binary Spatial Models in R15
dame-flame: A Python Package Providing Fast Interpretable Matching for Causal Inference14
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments14
calculus: High-Dimensional Numerical and Symbolic Calculus in R14
Additive Bayesian Network Modeling with the R Package abn13
Modeling Population Growth in R with the biogrowth Package13
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs12
Elastic Net Regularization Paths for All Generalized Linear Models12
Split-Apply-Combine with Dynamic Grouping11
Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo11
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes11
rags2ridges: A One-Stop- 2 11
A Practitioner's Guide and MATLAB Toolbox for Mixed Frequency State Space Models10
tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot210
spNNGP R Package for Nearest Neighbor Gaussian Process Models9
anomaly: Detection of Anomalous Structure in Time Series Data9
Stability Selection and Consensus Clustering in R: The R Package sharp8
exuber: Recursive Right-Tailed Unit Root Testing with R8
Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS8
BayesMortalityPlus: A Package in R for Bayesian Mortality Modeling7
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood7
Blang: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua7
Panel Data Visualization in R (panelView) and Stata (panelview)7
MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso7
scikit-fda: A Python Package for Functional Data Analysis6
econet: An R Package for Parameter-Dependent Network Centrality Measures6
Broken Stick Model for Irregular Longitudinal Data6
lpdensity: Local Polynomial Density Estimation and Inference6
GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language5
Hierarchical Clustering with Contiguity Constraint in R5
Monotone Regression: A Simple and Fast O(n) PAVA Implementation5
Extremes.jl: Extreme Value Analysis in Julia5
Interpreting Deep Neural Networks with the Package innsight5
Doing Meta-Analysis with R - A Hands-On Guide5
jti and sparta: Time and Space Efficient Packages for Model-Based Prediction in Large Bayesian Networks4
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression4
SURVEYHLM: A SAS Macro for Multilevel Analysis with Large-Scale Educational Assessment Data4
AMR: An R Package for Working with Antimicrobial Resistance Data4
The R Package tipsae: Tools for Mapping Proportions and Indicators on the Unit Interval4
pyrichlet: A Python Package for Density Estimation and Clustering Using Gaussian Mixture Models4
Multivariate Normal Variance Mixtures in R: The R Package nvmix4
logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations4
Fast Kernel Smoothing in R with Applications to Projection Pursuit4
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