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 2022-05-01 to 2026-05-01.)
ArticleCitations
Exploring Data Subsets with vtree507
Emulation and History Matching Using the hmer Package407
fairadapt: Causal Reasoning for Fair Data Preprocessing326
openTSNE : A Modular Python Library for t-SNE Dimensionality Reduction and Embedding231
GET: Global Envelopes in R171
equateMultiple : An R Package to Equate Multiple Forms62
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials57
Birth-and-Death Processes in Python: The BirDePy Package56
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset39
pymle: A Python Package for Maximum Likelihood Estimation and Simulation of Stochastic Differential Equations36
SMLE : An R Package for Joint Feature Screening in Ultrahigh-Dimensional GLMs35
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R31
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models24
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations22
stopp: An R Package for Spatio-Temporal Point Pattern Analysis21
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R21
sparsegl: An R Package for Estimating Sparse Group Lasso20
Holistic Generalized Linear Models19
counterfactuals : An R Package for Counterfactual Explanation Methods19
NUBO: A Transparent Python Package for Bayesian Optimization19
TSCI: Two Stage Curvature Identification for Causal Inference with Invalid Instruments in R16
Estimating Spatial Dynamic Panel Data Models with Unobserved Common Factors in Stata14
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK13
How to Interpret Statistical Models Using marginaleffects for R and Python13
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series12
GMM Estimators for Binary Spatial Models in R11
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments10
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R10
dame-flame: A Python Package Providing Fast Interpretable Matching for Causal Inference10
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs9
Modeling Population Growth in R with the biogrowth Package9
Additive Bayesian Network Modeling with the R Package abn8
mdendro: An R Package for Extended Agglomerative Hierarchical Clustering8
Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo7
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes7
Local Influence Diagnostics for Nonlinear Mixed Models under the Case-Weight Perturbation Scheme in SAS7
Elastic Net Regularization Paths for All Generalized Linear Models7
singleRcapture : An R Package for Single-Source Capture-Recapture Models7
Split-Apply-Combine with Dynamic Grouping7
anomaly: Detection of Anomalous Structure in Time Series Data7
skewlmm : An R Package for Fitting Skewed and Heavy-Tailed Linear Mixed Models6
Benchpress : A Versatile Platform for Structure Learning in Causal and Probabilistic Graphical Models6
Optimum Allocation for Adaptive Multi-Wave Sampling in R: The R Package optimall6
Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS6
Broken Stick Model for Irregular Longitudinal Data5
MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso5
MixtureMissing : An R Package for Robust and Flexible Model-Based Clustering with Incomplete Data5
BayesMortalityPlus: A Package in R for Bayesian Mortality Modeling5
Panel Data Visualization in R (panelView) and Stata (panelview)5
Stability Selection and Consensus Clustering in R: The R Package sharp5
GLMcat: An R Package for Generalized Linear Models for Categorical Responses4
dbnR : Gaussian Dynamic Bayesian Network Learning and Inference in R4
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression4
ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families4
jti and sparta: Time and Space Efficient Packages for Model-Based Prediction in Large Bayesian Networks4
dynamite : An R Package for Dynamic Multivariate Panel Models4
scikit-fda: A Python Package for Functional Data Analysis4
Mixed-Effects Additive Transformation Models with the R Package tramME4
Interpreting Deep Neural Networks with the Package innsight4
Extremes.jl: Extreme Value Analysis in Julia4
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