OOIR: Observatory of International Research

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 2021-04-01 to 2025-04-01.)

Article	Citations
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package	214
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood	165
hdpGLM: An R Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process	85
Blang: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua	60
Learning Base R (2nd Edition)	57
gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection	54
Modeling Nonstationary Financial Volatility with the R Package tvgarch	50
Emulation and History Matching Using the hmer Package	49
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments	45
Fast Kernel Smoothing in R with Applications to Projection Pursuit	42
MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso	37
An Extendable Python Implementation of Robust Optimization Monte Carlo	32
fHMM: Hidden Markov Models for Financial Time Series in R	29
Panel Data Visualization in R (panelView) and Stata (panelview)	28
fairadapt: Causal Reasoning for Fair Data Preprocessing	26
BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R	24
RecordTest: An R Package to Analyze Non-Stationarity in the Extremes Based on Record-Breaking Events	19
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding	18
Broken Stick Model for Irregular Longitudinal Data	16
BayesMix: Bayesian Mixture Models in C++	16
Additive Bayesian Network Modeling with the R Package abn	13
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data	13
ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models	13
The poolr Package for Combining Independent and Dependent p	13
Spbsampling: An R Package for Spatially Balanced Sampling	13

funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs	12
cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values	11
plot3logit: Ternary Plots for Interpreting Trinomial Regression Models	11
lpdensity: Local Polynomial Density Estimation and Inference	10
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset	10
Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data	10
scikit-fda: A Python Package for Functional Data Analysis	9
Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python	9
Birth-and-Death Processes in Python: The BirDePy Package	9
The R Package stagedtrees for Structural Learning of Stratified Staged Trees	9
GET: Global Envelopes in R	8
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials	8
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models	8
netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods	7
Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG	7
rags2ridges: A One-Stop- ℓ	5
spsurvey: Spatial Sampling Design and Analysis in R	5
spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models	5
HighFrequencyCovariance: A Julia Package for Estimating Covariance Matrices Using High Frequency Financial Data	5
Modeling Population Growth in R with the biogrowth Package	5
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models	5
Elastic Net Regularization Paths for All Generalized Linear Models	5
melt: Multiple Empirical Likelihood Tests in R	4
cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data	4
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R	4
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t	4
More on Multidimensional Scaling and Unfolding in R: smacof Version 2	4
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes	4
econet: An R Package for Parameter-Dependent Network Centrality Measures	4
stringi: Fast and Portable Character String Processing in R	3
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations	3
Robust Mediation Analysis: The R Package robmed	3
RESI: An R Package for Robust Effect Sizes	3
Doing Meta-Analysis with R - A Hands-On Guide	3
Application of Equal Local Levels to Improve Q-Q Plot Testing Bands with R Package qqconf	3
sensobol: An R Package to Compute Variance-Based Sensitivity Indices	3
Split-Apply-Combine with Dynamic Grouping	3
gcimpute: A Package for Missing Data Imputation	2
drda: An R Package for Dose-Response Data Analysis Using Logistic Functions	2
AMR: An R Package for Working with Antimicrobial Resistance Data	2
pyStoNED: A Python Package for Convex Regression and Frontier Estimation	2
Statistical Network Analysis with Bergm	2
Hierarchical Clustering with Contiguity Constraint in R	2
synthACS: Spatial Microsimulation Modeling with Synthetic American Community Survey Data	2
tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot2	2
Learning Permutation Symmetry of a Gaussian Vector with gips in R	2
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model	2
Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo	2
GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language	2
Extremes.jl: Extreme Value Analysis in Julia	2

Pathogen.jl: Infectious Disease Transmission Network Modeling with Julia	2
Interpreting Deep Neural Networks with the Package innsight	2
Monotone Regression: A Simple and Fast O(n) PAVA Implementation	2
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R	2
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R	2