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 2021-11-01 to 2025-11-01.)
ArticleCitations
Learning Base R (2nd Edition)365
Emulation and History Matching Using the hmer Package288
Exploring Data Subsets with vtree150
fairadapt: Causal Reasoning for Fair Data Preprocessing128
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package83
The poolr Package for Combining Independent and Dependent p Values83
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding67
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset66
Spbsampling: An R Package for Spatially Balanced Sampling65
GET: Global Envelopes in R62
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials57
ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models52
Birth-and-Death Processes in Python: The BirDePy Package51
pymle: A Python Package for Maximum Likelihood Estimation and Simulation of Stochastic Differential Equations49
spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models42
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models41
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R41
stopp: An R Package for Spatio-Temporal Point Pattern Analysis34
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R32
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Ra27
More on Multidimensional Scaling and Unfolding in R: smacof Version 226
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations26
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model24
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R23
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK20
sparsegl: An R Package for Estimating Sparse Group Lasso20
How to Interpret Statistical Models Using marginaleffects for R and Python18
Estimating Spatial Dynamic Panel Data Models with Unobserved Common Factors in Stata18
NUBO: A Transparent Python Package for Bayesian Optimization18
Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web17
Holistic Generalized Linear Models17
TSCI: Two Stage Curvature Identification for Causal Inference with Invalid Instruments in R17
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R16
calculus: High-Dimensional Numerical and Symbolic Calculus in R16
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series16
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments15
GMM Estimators for Binary Spatial Models in R15
dame-flame: A Python Package Providing Fast Interpretable Matching for Causal Inference15
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs13
Additive Bayesian Network Modeling with the R Package abn12
mdendro: An R Package for Extended Agglomerative Hierarchical Clustering12
0.071780204772949