Journal of Statistical Software

Papers
(The TQCC of Journal of Statistical Software is 12. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Learning Base R (2nd Edition)296
fairadapt: Causal Reasoning for Fair Data Preprocessing229
Emulation and History Matching Using the hmer Package102
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package96
The poolr Package for Combining Independent and Dependent p Values76
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding72
ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models59
Birth-and-Death Processes in Python: The BirDePy Package57
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials55
Spbsampling: An R Package for Spatially Balanced Sampling54
GET: Global Envelopes in R54
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset45
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models44
stopp: An R Package for Spatio-Temporal Point Pattern Analysis37
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Ra36
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations28
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R26
spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models26
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R23
More on Multidimensional Scaling and Unfolding in R: smacof Version 220
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model19
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R19
sparsegl: An R Package for Estimating Sparse Group Lasso19
Holistic Generalized Linear Models18
How to Interpret Statistical Models Using marginaleffects for R and Python17
Estimating Spatial Dynamic Panel Data Models with Unobserved Common Factors in Stata17
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK17
Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web16
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series16
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R16
GMM Estimators for Binary Spatial Models in R15
dame-flame: A Python Package Providing Fast Interpretable Matching for Causal Inference14
calculus: High-Dimensional Numerical and Symbolic Calculus in R14
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments14
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs13
Modeling Population Growth in R with the biogrowth Package12
Additive Bayesian Network Modeling with the R Package abn12
0.040098905563354