Journal of Statistical Software Vol. 105 (2023)

cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values

Luigi Augugliaro, Gianluca Sottile, Ernst C. Wit, Veronica Vinciotti

Vol. 105, Issue 1

Paper R package (cglasso) R replication code

deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression

David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller

Vol. 105, Issue 2

Paper R package (deepregression) R replication code Replication data (munich) Replication data (32_1) Replication data (32_2)

spsurvey: Spatial Sampling Design and Analysis in R

Michael Dumelle, Tom Kincaid, Anthony R. Olsen, Marc Weber

Vol. 105, Issue 3

Paper R package (spsurvey) R replication code Replication materials Replication data (NLA12)

jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets

Leonardo Rydin Gorjão, Dirk Witthaut, Pedro G. Lind

Vol. 105, Issue 4

Paper Python package (jumpdiff) Replication materials

Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg

Sy Han Chiou, Gongjun Xu, Jun Yan, Chiung-Yu Huang

Vol. 105, Issue 5

Paper R package (reReg) R replication code

ergm 4: New Features for Analyzing Exponential-Family Random Graph Models

Pavel N. Krivitsky, David R. Hunter, Martina Morris, Chad Klumb

Vol. 105, Issue 6

Paper R package (ergm) R replication code

Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations

Nicholas Tierney, Dianne Cook

Vol. 105, Issue 7

Paper R package (naniar) R replication code Replication data

Additive Bayesian Network Modeling with the R Package abn

Gilles Kratzer, Fraser Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer

Vol. 105, Issue 8

Paper R package (abn) Replication materials

Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG

Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel

Vol. 105, Issue 9

Paper R package (BiDAG) R replication code

logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations

John Paul Helveston

Vol. 105, Issue 10

Paper R package (logitr) R replication code

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