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Journal of Statistical Software, Volume 108

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Volume 108, Number 2, 2024

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  - journals/jstatsoft/Karapanagiotis24
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Pantelis Karapanagiotis:
The R Package markets: Estimation Methods for Markets in Equilibrium and Disequilibrium.

Volume 108, Number 3, 2024

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Philipp Bach, Malte S. Kurz, Victor Chernozhukov, Martin Spindler, Sven Klaassen:
DoubleML: An Object-Oriented Implementation of Double Machine Learning in R.

Volume 108, Number 4, 2024

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Yuxuan Zhao, Madeleine Udell:
gcimpute: A Package for Missing Data Imputation.

Volume 108, Number 5, 2024

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Eunseop Kim, Steven N. MacEachern, Mario Peruggia:
melt: Multiple Empirical Likelihood Tests in R.

Volume 108, Number 6, 2024

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Kristen B. Hunter, Luke Miratrix, Kristin Porter:
PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments.

Volume 108, Number 7, 2024

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  - journals/jstatsoft/SchwendingerSV24
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Benjamin Schwendinger, Florian Schwendinger, Laura Vana:
Holistic Generalized Linear Models.

Volume 108, Number 8, 2024

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  - journals/jstatsoft/BoydS24
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Alex Boyd, Dennis L. Sun:
salmon: A Symbolic Linear Regression Package for Python.

Volume 108, Number 9, 2024

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Susana Campos-Martins, Genaro Sucarrat:
Modeling Nonstationary Financial Volatility with the R Package tvgarch.

Volume 108, Number 10, 2024

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Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Noel Cressie:
Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK.

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