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ORCIDJournal of Statistical Software, Volume 106
Volume 106, Number 1, 2023
- J. Kenneth Tay, Balasubramanian Narasimhan, Trevor Hastie
:
Elastic Net Regularization Paths for All Generalized Linear Models.
Volume 106, Number 2, 2023
- Sara Balduzzi, Gerta Rücker, Adriani Nikolakopoulou, Theodoros Papakonstantinou, Georgia Salanti, Orestis Efthimiou, Guido Schwarzer:
netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods.
Volume 106, Number 3, 2023
- 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
- Alina Malyutina, Jing Tang, Alberto Pessia:
drda: An R Package for Dose-Response Data Analysis Using Logistic Functions.
Volume 106, Number 5, 2023
- 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
- 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
- Stef van Buuren:
Broken Stick Model for Irregular Longitudinal Data.
Volume 106, Number 8, 2023
- 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
- Francesco Denti:
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset.
Volume 106, Number 10, 2023
- 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
- 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
- Stephan Smeekes, Ines Wilms:
bootUR: An R Package for Bootstrap Unit Root Tests.
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