Journal of Statistical Software, Volume 106 (original) (raw)

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Volume 106, Number 1, 2023

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    J. Kenneth Tay, Balasubramanian Narasimhan, Trevor Hastie:
    Elastic Net Regularization Paths for All Generalized Linear Models.

Volume 106, Number 2, 2023

Volume 106, Number 3, 2023

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    Quentin Grimonprez, Samuel Blanck, Alain Celisse, Guillemette Marot:
    MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso.

Volume 106, Number 4, 2023

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    Alina Malyutina, Jing Tang, Alberto Pessia:
    drda: An R Package for Dose-Response Data Analysis Using Logistic Functions.

Volume 106, Number 5, 2023

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    Jorge Castillo-Mateo, Ana C. Cebrián, Jesús Asín:
    RecordTest: An R Package to Analyze Non-Stationarity in the Extremes Based on Record-Breaking Events.

Volume 106, Number 6, 2023

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    Vincent Runge, Toby Dylan Hocking, Gaetano Romano, Fatemeh Afghah, Paul Fearnhead, Guillem Rigaill:
    gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection.

Volume 106, Number 7, 2023

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    Stef van Buuren:
    Broken Stick Model for Irregular Longitudinal Data.

Volume 106, Number 8, 2023

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    Peiran Liu, Hana Sevcikova, Adrian E. Raftery:
    Probabilistic Estimation and Projection of the Annual Total Fertility Rate Accounting for Past Uncertainty: A Major Update of the bayesTFR R Package.

Volume 106, Number 9, 2023

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    Francesco Denti:
    intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset.

Volume 106, Number 10, 2023

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    Eric Weine, Mary Sara McPeek, Mark Abney:
    Application of Equal Local Levels to Improve Q-Q Plot Testing Bands with R Package qqconf.

Volume 106, Number 11, 2023

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    Anita K. Nandi, Tim C. D. Lucas, Rohan Arambepola, Peter W. Gething, Daniel J. Weiss:
    disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling.

Volume 106, Number 12, 2023

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    Stephan Smeekes, Ines Wilms:
    bootUR: An R Package for Bootstrap Unit Root Tests.

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