Journal of Statistical Software

Papers
(The median citation count of Journal of Statistical Software is 2. 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 2021-03-01 to 2025-03-01.)
ArticleCitations
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data149
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood117
Broken Stick Model for Irregular Longitudinal Data60
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding41
hdpGLM: An R Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process40
Blang: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua38
Learning Base R (2nd Edition)33
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package32
gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection32
Modeling Nonstationary Financial Volatility with the R Package tvgarch31
Emulation and History Matching Using the hmer Package27
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments26
Fast Kernel Smoothing in R with Applications to Projection Pursuit22
MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso21
An Extendable Python Implementation of Robust Optimization Monte Carlo19
fHMM: Hidden Markov Models for Financial Time Series in R18
Panel Data Visualization in R (panelView) and Stata (panelview)14
The poolr Package for Combining Independent and Dependent p13
fairadapt: Causal Reasoning for Fair Data Preprocessing12
BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R11
Additive Bayesian Network Modeling with the R Package abn10
RecordTest: An R Package to Analyze Non-Stationarity in the Extremes Based on Record-Breaking Events10
ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models10
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs10
cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values9
Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data9
plot3logit: Ternary Plots for Interpreting Trinomial Regression Models9
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models8
netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods8
spsurvey: Spatial Sampling Design and Analysis in R8
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset7
Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python6
Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG6
Modeling Population Growth in R with the biogrowth Package5
The R Package stagedtrees for Structural Learning of Stratified Staged Trees5
Elastic Net Regularization Paths for All Generalized Linear Models5
scikit-fda: A Python Package for Functional Data Analysis5
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials5
lpdensity: Local Polynomial Density Estimation and Inference5
Birth-and-Death Processes in Python: The BirDePy Package5
Spbsampling: An R Package for Spatially Balanced Sampling5
Doing Meta-Analysis with R - A Hands-On Guide4
GET: Global Envelopes in R4
Application of Equal Local Levels to Improve Q-Q Plot Testing Bands with R Package qqconf4
rags2ridges: A One-Stop- 4
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models4
HighFrequencyCovariance: A Julia Package for Estimating Covariance Matrices Using High Frequency Financial Data4
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t3
cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data3
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations3
stringi: Fast and Portable Character String Processing in R3
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R3
melt: Multiple Empirical Likelihood Tests in R3
Hierarchical Clustering with Contiguity Constraint in R3
spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models3
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes3
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R3
econet: An R Package for Parameter-Dependent Network Centrality Measures3
Robust Mediation Analysis: The R Package robmed2
Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo2
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R2
gcimpute: A Package for Missing Data Imputation2
AMR: An R Package for Working with Antimicrobial Resistance Data2
More on Multidimensional Scaling and Unfolding in R: smacof Version 22
pyStoNED: A Python Package for Convex Regression and Frontier Estimation2
Extremes.jl: Extreme Value Analysis in Julia2
Pathogen.jl: Infectious Disease Transmission Network Modeling with Julia2
tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot22
GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language2
sensobol: An R Package to Compute Variance-Based Sensitivity Indices2
synthACS: Spatial Microsimulation Modeling with Synthetic American Community Survey Data2
Interpreting Deep Neural Networks with the Package innsight2
sparsegl: An R Package for Estimating Sparse Group Lasso2
Monotone Regression: A Simple and Fast O(n) PAVA Implementation2
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model2
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