OOIR: Observatory of International Research

Papers

(The median citation count of Journal of Statistical Software is 3. 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 2021-05-01 to 2025-05-01.)

Article	Citations
fairadapt: Causal Reasoning for Fair Data Preprocessing	243
Learning Base R (2nd Edition)	181
Emulation and History Matching Using the hmer Package	87
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding	64
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package	64
The poolr Package for Combining Independent and Dependent p	57
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset	53
Spbsampling: An R Package for Spatially Balanced Sampling	52
ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models	48
Birth-and-Death Processes in Python: The BirDePy Package	47
GET: Global Envelopes in R	42
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials	41
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R	34
spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models	32
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t	30
More on Multidimensional Scaling and Unfolding in R: smacof Version 2	27
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models	22
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R	20
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations	18
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R	17
sparsegl: An R Package for Estimating Sparse Group Lasso	16
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model	16
BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series	14
Holistic Generalized Linear Models	14
How to Interpret Statistical Models Using marginaleffects for R and Python	14

Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK	14
bizicount: Bivariate Zero-Inflated Count Copula Regression Using R	13
Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web	13
calculus: High-Dimensional Numerical and Symbolic Calculus in R	12
Additive Bayesian Network Modeling with the R Package abn	11
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments	11
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs	11
GMM Estimators for Binary Spatial Models in R	11
Elastic Net Regularization Paths for All Generalized Linear Models	9
Modeling Population Growth in R with the biogrowth Package	9
Split-Apply-Combine with Dynamic Grouping	9
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes	9
rags2ridges: A One-Stop- ℓ	8
tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot2	8
Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo	8
A Practitioner's Guide and MATLAB Toolbox for Mixed Frequency State Space Models	7
Stability Selection and Consensus Clustering in R: The R Package sharp	7
anomaly: Detection of Anomalous Structure in Time Series Data	7
exuber: Recursive Right-Tailed Unit Root Testing with R	6
spNNGP R Package for Nearest Neighbor Gaussian Process Models	6
lpdensity: Local Polynomial Density Estimation and Inference	5
Panel Data Visualization in R (panelView) and Stata (panelview)	5
scikit-fda: A Python Package for Functional Data Analysis	5
Blang: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua	5
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood	5
Broken Stick Model for Irregular Longitudinal Data	5
Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS	5
MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso	5
Doing Meta-Analysis with R - A Hands-On Guide	4
GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language	4
Extremes.jl: Extreme Value Analysis in Julia	4
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression	4
Hierarchical Clustering with Contiguity Constraint in R	4
Interpreting Deep Neural Networks with the Package innsight	4
Multivariate Normal Variance Mixtures in R: The R Package nvmix	4
The R Package tipsae: Tools for Mapping Proportions and Indicators on the Unit Interval	4
econet: An R Package for Parameter-Dependent Network Centrality Measures	4
Monotone Regression: A Simple and Fast O(n) PAVA Implementation	4
AMR: An R Package for Working with Antimicrobial Resistance Data	4
jti and sparta: Time and Space Efficient Packages for Model-Based Prediction in Large Bayesian Networks	4
pyrichlet: A Python Package for Density Estimation and Clustering Using Gaussian Mixture Models	3
hdpGLM: An R Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process	3
RecordTest: An R Package to Analyze Non-Stationarity in the Extremes Based on Record-Breaking Events	3
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data	3
logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations	3
Fast Kernel Smoothing in R with Applications to Projection Pursuit	3