Journal Report

JOURNAL OF STATISTICAL SOFTWARE

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Journal Information
Journal Title
JOURNAL OF STATISTICAL SOFTWARE
Publisher
JOURNAL STATISTICAL SOFTWARE
ISSN
1548-7660
E-ISSN
1548-7660
Database
Clarivate
Domain
Not available
Classification History
Year A+ A B C
2026 ✓
2025 ✓
2024 ✓
2023 ✓ ✓
2021/2022 ✓ ✓
2020 ✓ ✓
2019 ✓ ✓ ✓
2018 ✓
A journal may have more than one classification in the same year. All recorded classifications are displayed.
Recent Articles
<b>LorenzRegression</b> : An Implementation of the Lorenz and Penalized Lorenz Regressions in <i>R</i>
Alexandre Jacquemain, Cédric Heuchenne
2026 Vol. 117 Issue 6
DOI: 10.18637/jss.v117.i06
<b>BACE</b> : A <i>gretl</i> Package for Model Averaging in Bounded Dependent Variable Models
Marcin Bażejowski, Jacek Kwiatkowski
2026 Vol. 117 Issue 4
DOI: 10.18637/jss.v117.i04
Policy Learning with the <b>polle</b> Package
Andreas Nordland, Klaus Kähler Holst
2026 Vol. 116 Issue 4
DOI: 10.18637/jss.v116.i04
<b>fastcpd</b> : Fast Change Point Detection in <i>R</i>
Xingchi Li, Xianyang Zhang
2026 Vol. 116 Issue 6
DOI: 10.18637/jss.v116.i06
<b>asgl</b> : A <i>Python</i> Package for Penalized Quantile, Linear, and Logistic Regression
Alvaro Mendez-Civieta, M. Carmen Aguilera-Morillo, Rosa E. Lillo
2026 Vol. 117 Issue 3
DOI: 10.18637/jss.v117.i03
CPU- and GPU-Based Distributed Sampling in Dirichlet Process Mixtures for Large-Scale Analysis
Or Dinari, Raz Zamir, John W. Fisher III et al.
2026 Vol. 116 Issue 7
DOI: 10.18637/jss.v116.i07
<b>BayesMultiMode</b> : Bayesian Mode Inference in <i>R</i>
Nalan Basturk, Jamie Cross, Peter de Knijff et al.
2026 Vol. 116 Issue 3
DOI: 10.18637/jss.v116.i03
<b>nonprobsvy</b> : An <i>R</i> Package for Modern Methods for Non-Probability Surveys
ukasz Chrostowski, Piotr Chlebicki, Maciej Ber e
2026 Vol. 117 Issue 2
DOI: 10.18637/jss.v117.i02
<b>BCDAG</b> : An <i>R</i> Package for Bayesian Structure and Causal Learning of Gaussian DAGs
Federico Castelletti, Alessandro Mascaro
2026 Vol. 116 Issue 5
DOI: 10.18637/jss.v116.i05
Simulating Complex Cross-Sectional and Longitudinal Data Using the <b>simDAG</b> <i>R</i> Package
Robin Denz, Nina Timmesfeld
2026 Vol. 116 Issue 2
DOI: 10.18637/jss.v116.i02
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Printed: October 26, 2026 04:06