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Journal of Statistical Software, Volume 113

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Volume 113, Number 1, 2025

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  - journals/jstatsoft/CattaneoFPT25
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Matias D. Cattaneo, Yingjie Feng, Filippo Palomba, Rocío Titiunik:
scpi: Uncertainty Quantification for Synthetic Control Methods.

Volume 113, Number 2, 2025

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  - journals/jstatsoft/GuptaOCWMDHSGRRV25
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Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang, Tianyu Wang, Marco Morucci, Pritam Dey, Thomas J. Howell, Xian Sun, Angikar Ghosal, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky:
dame-flame: A Python Package Providing Fast Interpretable Matching for Causal Inference.

Volume 113, Number 3, 2025

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  - journals/jstatsoft/PakbinWML25
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Arash Pakbin, Xiaochen Wang, Bobak J. Mortazavi, Donald K. K. Lee:
BoXHED2.0: Scalable Boosting of Dynamic Survival Analysis.

Volume 113, Number 4, 2025

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  - journals/jstatsoft/KirkbyNNN25
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Justin Lars Kirkby, Dang Hai Nguyen, Duy Nguyen, Nhu Nguyen:
pymle: A Python Package for Maximum Likelihood Estimation and Simulation of Stochastic Differential Equations.

Volume 113, Number 5, 2025

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Daniel Kasper, Katrin Schulz-Heidorf, Knut Schwippert:
SURVEYHLM: A SAS Macro for Multilevel Analysis with Large-Scale Educational Assessment Data.

Volume 113, Number 6, 2025

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Sebastian Kripfganz, Vasilis Sarafidis:
Estimating Spatial Dynamic Panel Data Models with Unobserved Common Factors in Stata.

Volume 113, Number 7, 2025

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Daniele Zago:
StatisticalProcessMonitoring.jl: A General Framework for Statistical Process Monitoring in Julia.

Volume 113, Number 8, 2025

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  - journals/jstatsoft/MorinLLBGSL25
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Sacha Morin, Robin Legault, Félix Laliberté, Zsuzsa Bakk, Charles-Édouard Giguère, Roxane de la Sablonnière, Éric Lacourse:
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables.

Volume 113, Number 9, 2025

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Lucas M. F. Silva, Luiz F. V. Figueiredo, Viviana G. R. Lobo, Thais C. O. Fonseca, Mariane B. Alves:
BayesMortalityPlus: A Package in R for Bayesian Mortality Modeling.

Volume 113, Number 10, 2025

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Nicoletta D'Angelo, Giada Adelfio:
stopp: An R Package for Spatio-Temporal Point Pattern Analysis.

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