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 2021-02-01 to 2025-02-01.)
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
hdpGLM: An R Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process60
Blang: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua41
Learning Base R (2nd Edition)40
gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection38
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package33
Modeling Nonstationary Financial Volatility with the R Package tvgarch32
Emulation and History Matching Using the hmer Package32
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments31
Fast Kernel Smoothing in R with Applications to Projection Pursuit27
MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso26
An Extendable Python Implementation of Robust Optimization Monte Carlo22
fHMM: Hidden Markov Models for Financial Time Series in R21
Panel Data Visualization in R (panelView) and Stata (panelview)19
The poolr Package for Combining Independent and Dependent p18
Broken Stick Model for Irregular Longitudinal Data14
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding13
fairadapt: Causal Reasoning for Fair Data Preprocessing12
BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R11
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs10
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
cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values9
Modeling Population Growth in R with the biogrowth Package9
Elastic Net Regularization Paths for All Generalized Linear Models9
Spbsampling: An R Package for Spatially Balanced Sampling8
Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data8
plot3logit: Ternary Plots for Interpreting Trinomial Regression Models8
lpdensity: Local Polynomial Density Estimation and Inference7
Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG6
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials6
spsurvey: Spatial Sampling Design and Analysis in R5
Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python5
netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods5
The R Package stagedtrees for Structural Learning of Stratified Staged Trees5
scikit-fda: A Python Package for Functional Data Analysis5
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset5
Birth-and-Death Processes in Python: The BirDePy Package5
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models5
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R4
HighFrequencyCovariance: A Julia Package for Estimating Covariance Matrices Using High Frequency Financial Data4
stringi: Fast and Portable Character String Processing in R4
GET: Global Envelopes in R4
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes4
econet: An R Package for Parameter-Dependent Network Centrality Measures4
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models3
cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data3
More on Multidimensional Scaling and Unfolding in R: smacof Version 23
Doing Meta-Analysis with R - A Hands-On Guide3
spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models3
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R3
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t3
rags2ridges: A One-Stop- 3
Application of Equal Local Levels to Improve Q-Q Plot Testing Bands with R Package qqconf3
sensobol: An R Package to Compute Variance-Based Sensitivity Indices3
melt: Multiple Empirical Likelihood Tests in R3
Extremes.jl: Extreme Value Analysis in Julia2
tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot22
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations2
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R2
Statistical Network Analysis with Bergm2
pyStoNED: A Python Package for Convex Regression and Frontier Estimation2
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model2
Robust Mediation Analysis: The R Package robmed2
Pathogen.jl: Infectious Disease Transmission Network Modeling with Julia2
Monotone Regression: A Simple and Fast O(n) PAVA Implementation2
drda: An R Package for Dose-Response Data Analysis Using Logistic Functions2
Interpreting Deep Neural Networks with the Package innsight2
sparsegl: An R Package for Estimating Sparse Group Lasso2
Hierarchical Clustering with Contiguity Constraint in R2
synthACS: Spatial Microsimulation Modeling with Synthetic American Community Survey Data2
gcimpute: A Package for Missing Data Imputation2
Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo2
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