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Journal of Statistical Software, Volume 102

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Volume 102, Number 1, 2022

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  - journals/jstatsoft/FairbrotherNRBP22
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Jamie Fairbrother, Christopher Nemeth, Maxime Rischard, Johanni Brea, Thomas Pinder:
GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language.

Volume 102, Number Book Review 1, 2022

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  - journals/jstatsoft/Gromping22
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Ulrike Grömping:
Pro Data Visualization Using R and JavaScript: Analyze and Visualize Key Data on the Web.

Volume 102, Number 2, 2022

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Erik Hintz, Marius Hofert, Christiane Lemieux:
Multivariate Normal Variance Mixtures in R: The R Package nvmix.

Volume 102, Number Book Review 2, 2022

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  - journals/jstatsoft/Lortie22
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Christopher J. Lortie:
Doing Meta-Analysis with R - A Hands-On Guide.

Volume 102, Number 3, 2022

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Steffen Grønneberg, Njål Foldnes, Katerina M. Marcoulides:
covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas.

Volume 102, Number 4, 2022

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  - journals/jstatsoft/PeetersBW22
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Carel F. W. Peeters, Anders Ellern Bilgrau, Wessel N. van Wieringen:
rags2ridges: A One-Stop- ℓ2 -Shop for Graphical Modeling of High-Dimensional Precision Matrices.

Volume 102, Number 5, 2022

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Arnald Puy, Samuele Lo Piano, Andrea Saltelli, Simon A. Levin:
sensobol: An R Package to Compute Variance-Based Sensitivity Indices.

Volume 102, Number 6, 2022

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Federico Carli, Manuele Leonelli, Eva Riccomagno, Gherardo Varando:
The R Package stagedtrees for Structural Learning of Stratified Staged Trees.

Volume 102, Number 7, 2022

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Jaime Pizarroso, José Portela, Antonio Muñoz:
NeuralSens: Sensitivity Analysis of Neural Networks.

Volume 102, Number 8, 2022

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Marco Battaglini, Valerio Leone Sciabolazza, Eleonora Patacchini, Sida Peng:
econet: An R Package for Parameter-Dependent Network Centrality Measures.

Volume 102, Number 9, 2022

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  - journals/jstatsoft/SachsG22
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Michael C. Sachs, Erin E. Gabriel:
Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R.

Volume 102, Number 10, 2022

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Patrick Mair, Patrick J. F. Groenen, Jan de Leeuw:
More on Multidimensional Scaling and Unfolding in R: smacof Version 2.

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