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 2021-06-01 to 2025-06-01.)
ArticleCitations
fairadapt: Causal Reasoning for Fair Data Preprocessing263
Learning Base R (2nd Edition)198
Emulation and History Matching Using the hmer Package91
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package67
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding66
The poolr Package for Combining Independent and Dependent p Values58
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset55
Spbsampling: An R Package for Spatially Balanced Sampling53
GET: Global Envelopes in R51
ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models48
Birth-and-Death Processes in Python: The BirDePy Package47
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials43
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R37
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models35
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Ra34
spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models27
More on Multidimensional Scaling and Unfolding in R: smacof Version 225
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R23
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations19
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R18
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model17
sparsegl: An R Package for Estimating Sparse Group Lasso17
Holistic Generalized Linear Models16
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK15
How to Interpret Statistical Models Using marginaleffects for R and Python15
Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web14
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series14
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R13
GMM Estimators for Binary Spatial Models in R12
calculus: High-Dimensional Numerical and Symbolic Calculus in R12
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments12
Additive Bayesian Network Modeling with the R Package abn11
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs11
Modeling Population Growth in R with the biogrowth Package11
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes10
Elastic Net Regularization Paths for All Generalized Linear Models10
rags2ridges: A One-Stop- 2 9
Split-Apply-Combine with Dynamic Grouping9
Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo9
A Practitioner's Guide and MATLAB Toolbox for Mixed Frequency State Space Models8
tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot28
anomaly: Detection of Anomalous Structure in Time Series Data8
Stability Selection and Consensus Clustering in R: The R Package sharp7
Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS7
Panel Data Visualization in R (panelView) and Stata (panelview)6
exuber: Recursive Right-Tailed Unit Root Testing with R6
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood6
spNNGP R Package for Nearest Neighbor Gaussian Process Models6
Blang: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua5
lpdensity: Local Polynomial Density Estimation and Inference5
Doing Meta-Analysis with R - A Hands-On Guide5
Broken Stick Model for Irregular Longitudinal Data5
scikit-fda: A Python Package for Functional Data Analysis5
Monotone Regression: A Simple and Fast O(n) PAVA Implementation5
MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso5
econet: An R Package for Parameter-Dependent Network Centrality Measures5
Hierarchical Clustering with Contiguity Constraint in R5
The R Package tipsae: Tools for Mapping Proportions and Indicators on the Unit Interval4
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
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression4
AMR: An R Package for Working with Antimicrobial Resistance Data4
Interpreting Deep Neural Networks with the Package innsight4
pyrichlet: A Python Package for Density Estimation and Clustering Using Gaussian Mixture Models4
jti and sparta: Time and Space Efficient Packages for Model-Based Prediction in Large Bayesian Networks4
GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language4
hdpGLM: An R Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process3
Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python3
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data3
plot3logit: Ternary Plots for Interpreting Trinomial Regression Models3
netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods3
RecordTest: An R Package to Analyze Non-Stationarity in the Extremes Based on Record-Breaking Events3
Fast Kernel Smoothing in R with Applications to Projection Pursuit3
spsurvey: Spatial Sampling Design and Analysis in R3
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