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 2022-08-01 to 2026-08-01.)
ArticleCitations
Exploring Data Subsets with vtree595
Emulation and History Matching Using the hmer Package477
fairadapt: Causal Reasoning for Fair Data Preprocessing417
openTSNE : A Modular Python Library for t-SNE Dimensionality Reduction and Embedding411
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset201
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials69
equateMultiple : An R Package to Equate Multiple Forms67
Birth-and-Death Processes in Python: The BirDePy Package61
GET: Global Envelopes in R42
pymle: A Python Package for Maximum Likelihood Estimation and Simulation of Stochastic Differential Equations41
cv : An R Package for Cross-Validating Regression Models40
SMLE : An R Package for Joint Feature Screening in Ultrahigh-Dimensional GLMs39
stopp: An R Package for Spatio-Temporal Point Pattern Analysis28
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models25
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R24
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R23
sparsegl: An R Package for Estimating Sparse Group Lasso23
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations23
counterfactuals : An R Package for Counterfactual Explanation Methods22
Estimating Spatial Dynamic Panel Data Models with Unobserved Common Factors in Stata22
Holistic Generalized Linear Models21
TSCI: Two Stage Curvature Identification for Causal Inference with Invalid Instruments in R19
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK18
BayesMultiMode : Bayesian Mode Inference in R17
NUBO: A Transparent Python Package for Bayesian Optimization15
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R14
How to Interpret Statistical Models Using marginaleffects for R and Python14
GMM Estimators for Binary Spatial Models in R12
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments12
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series12
dame-flame: A Python Package Providing Fast Interpretable Matching for Causal Inference12
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs11
fastcpd : Fast Change Point Detection in R11
Additive Bayesian Network Modeling with the R Package abn10
Modeling Population Growth in R with the biogrowth Package10
mdendro: An R Package for Extended Agglomerative Hierarchical Clustering9
Elastic Net Regularization Paths for All Generalized Linear Models8
Split-Apply-Combine with Dynamic Grouping8
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes8
BCDAG : An R Package for Bayesian Structure and Causal Learning of Gaussian DAGs7
anomaly: Detection of Anomalous Structure in Time Series Data7
Local Influence Diagnostics for Nonlinear Mixed Models under the Case-Weight Perturbation Scheme in SAS7
Simulating Complex Cross-Sectional and Longitudinal Data Using the simDAG R Package7
Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo7
Optimum Allocation for Adaptive Multi-Wave Sampling in R: The R Package optimall6
Benchpress : A Versatile Platform for Structure Learning in Causal and Probabilistic Graphical Models6
Stability Selection and Consensus Clustering in R: The R Package sharp6
skewlmm : An R Package for Fitting Skewed and Heavy-Tailed Linear Mixed Models6
collapse : Advanced and Fast Statistical Computing and Data Transformation in R6
BayesMortalityPlus: A Package in R for Bayesian Mortality Modeling6
Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS6
singleRcapture : An R Package for Single-Source Capture-Recapture Models6
Mixed-Effects Additive Transformation Models with the R Package tramME5
MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso5
GLMcat: An R Package for Generalized Linear Models for Categorical Responses5
MixtureMissing : An R Package for Robust and Flexible Model-Based Clustering with Incomplete Data5
Broken Stick Model for Irregular Longitudinal Data5
Panel Data Visualization in R (panelView) and Stata (panelview)5
dbnR : Gaussian Dynamic Bayesian Network Learning and Inference in R4
jti and sparta: Time and Space Efficient Packages for Model-Based Prediction in Large Bayesian Networks4
scikit-fda: A Python Package for Functional Data Analysis4
Extremes.jl: Extreme Value Analysis in Julia4
ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families4
Interpreting Deep Neural Networks with the Package innsight4
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