OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Statistical Software is 10. 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 2020-05-01 to 2024-05-01.)

Article	Citations
cutpointr: Improved Estimation and Validation of Optimal Cutpoints in R	179
Bayesian Item Response Modeling in R with brms and Stan	168
Permutation Tests for Regression, ANOVA, and Comparison of Signals: The permuco Package	64
netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods	56
multimode: An R Package for Mode Assessment	55
Elastic Net Regularization Paths for All Generalized Linear Models	48
Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package	47
The poolr Package for Combining Independent and Dependent p	31
stringi: Fast and Portable Character String Processing in R	30
sensobol: An R Package to Compute Variance-Based Sensitivity Indices	30
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations	29
FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets	28
Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem	27
Efficient Bayesian Structural Equation Modeling in Stan	27
Simulating Survival Data Using the simsurv R Package	26
qgam: Bayesian Nonparametric Quantile Regression Modeling in R	25
Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python	23
Conditional Model Selection in Mixed-Effects Models with cAIC4	22
New Frontiers in Bayesian Modeling Using the INLA Package in R	21
More on Multidimensional Scaling and Unfolding in R: smacof Version 2	21
Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol	20
Regularized Ordinal Regression and the ordinalNet R Package	20
Applying Meta-Analytic-Predictive Priors with the R Bayesian Evidence Synthesis Tools	20
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models	19
NeuralSens: Sensitivity Analysis of Neural Networks	19

scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data	19
Analysis of Multiplex Social Networks with R	19
BFpack: Flexible Bayes Factor Testing of Scientific Theories in R	18
microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R	18
hetGP: Heteroskedastic Gaussian Process Modeling and Sequential Design in R	16
modelsummary: Data and Model Summaries in R	16
JointAI: Joint Analysis and Imputation of Incomplete Data in R	16
mexhaz: An R Package for Fitting Flexible Hazard-Based Regression Models for Overall and Excess Mortality with a Random Effect	15
AMR: An R Package for Working with Antimicrobial Resistance Data	15
Flexible Scan Statistics for Detecting Spatial Disease Clusters: The rflexscan R Package	12
The R Package sentometrics to Compute, Aggregate, and Predict with Textual Sentiment	12
mosum: A Package for Moving Sums in Change-Point Analysis	12
spsurvey: Spatial Sampling Design and Analysis in R	12
BVAR: Bayesian Vector Autoregressions with Hierarchical Prior Selection in R	12
Hierarchical Clustering with Contiguity Constraint in R	12
svars: An R Package for Data-Driven Identification in Multivariate Time Series Analysis	10
The R Package stagedtrees for Structural Learning of Stratified Staged Trees	10
Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP	10