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Journal of Statistical Software, Volume 107

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Volume 107, Number 1, 2023

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Alberto Garre, Jeroen Koomen, Heidy M. W. den Besten, Marcel H. Zwietering:
Modeling Population Growth in R with the biogrowth Package.

Volume 107, Number 2, 2023

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  - journals/jstatsoft/MaYTH23
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Wei Ma, Xiaoqing Ye, Fuyi Tu, Feifang Hu:
carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials.

Volume 107, Number 3, 2023

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  - journals/jstatsoft/GuiMSA23
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Raluca Gui, Markus Meierer, Patrik Schilter, René Algesheimer:
REndo: Internal Instrumental Variables to Address Endogeneity.

Volume 107, Number 4, 2023

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Milan Bouchet-Valat, Bogumil Kaminski:
DataFrames.jl: Flexible and Fast Tabular Data in Julia.

Volume 107, Number 5, 2023

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Simon A. Broda, Marc S. Paolella:
ARCHModels.jl: Estimating ARCH Models in Julia.

Volume 107, Number 6, 2023

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  - journals/jstatsoft/BaeyK23
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Charlotte Baey, Estelle Kuhn:
varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models.

Volume 107, Number 7, 2023

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Hongyu Mou, Licheng Liu, Yiqing Xu:
Panel Data Visualization in R (panelView) and Stata (panelview).

Volume 107, Number 8, 2023

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Gianfranco Piras, Mauricio Sarrias:
GMM Estimators for Binary Spatial Models in R.

Volume 107, Number 9, 2023

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Ranjit Lall, Thomas Robinson:
Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS.

Volume 107, Number 10, 2023

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Diogo Ferrari:
hdpGLM: An R Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process.

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