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ORCIDJournal of Statistical Software, Volume 100
Volume 100, Number 1, 2021
- Michela Cameletti, Virgilio Gómez-Rubio:
Software for Bayesian Statistics.
Volume 100, Number 2, 2021
- Janet van Niekerk
, Haakon Bakka, Håvard Rue, Olaf Schenk:
New Frontiers in Bayesian Modeling Using the INLA Package in R.
Volume 100, Number 3, 2021
- Nicholas Michaud, Perry de Valpine, Daniel Turek, Christopher J. Paciorek, Dao Nguyen:
Sequential Monte Carlo Methods in the nimble and nimbleSMC R Packages.
Volume 100, Number 4, 2021
- Nikolaus Umlauf, Nadja Klein, Thorsten Simon, Achim Zeileis:
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond).
Volume 100, Number 5, 2021
- Paul-Christian Bürkner:
Bayesian Item Response Modeling in R with brms and Stan.
Volume 100, Number 6, 2021
- Edgar C. Merkle, Ellen Fitzsimmons, James Ohisei Uanhoro, Ben Goodrich:
Efficient Bayesian Structural Equation Modeling in Stan.
Volume 100, Number 7, 2021
- Ritabrata Dutta, Marcel Schöngens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Pierre Künzli, Jukka-Pekka Onnela, Antonietta Mira:
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation.
Volume 100, Number 8, 2021
- Vinícius D. Mayrink, João Daniel N. Duarte, Fábio N. Demarqui:
pexm: A JAGS Module for Applications Involving the Piecewise Exponential Distribution.
Volume 100, Number 9, 2021
- Matteo Fasiolo, Simon N. Wood, Margaux Zaffran, Raphaël Nedellec, Yannig Goude:
qgam: Bayesian Nonparametric Quantile Regression Modeling in R.
Volume 100, Number 10, 2021
- Simon Bonner, Han-Na Kim, David Westneat, Ariane Mutzel, Jonathan Wright, Matthew Schofield:
dalmatian: A Package for Fitting Double Hierarchical Linear Models in R via JAGS and nimble.
Volume 100, Number 11, 2021
- Zhi Zhao, Marco Banterle, Leonardo Bottolo, Sylvia Richardson, Alex Lewin, Manuela Zucknick:
BayesSUR: An R Package for High-Dimensional Multivariate Bayesian Variable and Covariance Selection in Linear Regression.
Volume 100, Number 12, 2021
- Darjus Hosszejni, Gregor Kastner:
Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol.
Volume 100, Number 13, 2021
- Peter Knaus, Angela Bitto-Nemling, Annalisa Cadonna, Sylvia Frühwirth-Schnatter:
Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP.
Volume 100, Number 14, 2021
- Nikolas Kuschnig, Lukas Vashold:
BVAR: Bayesian Vector Autoregressions with Hierarchical Prior Selection in R.
Volume 100, Number 15, 2021
- Riccardo Corradin, Antonio Canale, Bernardo Nipoti:
BNPmix: An R Package for Bayesian Nonparametric Modeling via Pitman-Yor Mixtures.
Volume 100, Number 16, 2021
- Sergio Venturini, Raffaella Piccarreta:
A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: The dmbc Package in R.
Volume 100, Number 17, 2021
- Quentin F. Gronau, Akash Raj K. N., Eric-Jan Wagenmakers:
Informed Bayesian Inference for the A/B Test.
Volume 100, Number 18, 2021
- Joris Mulder, Donald R. Williams, Xin Gu, Andrew Tomarken, Florian Böing-Messing, Anton Olsson-Collentine, Marlyne Meijerink, Janosch Menke, Robbie van Aert, Jean-Paul Fox, Herbert Hoijtink, Yves Rosseel, Eric-Jan Wagenmakers, Caspar J. van Lissa:
BFpack: Flexible Bayes Factor Testing of Scientific Theories in R.
Volume 100, Number 19, 2021
- Sebastian Weber, Yue Li, John W. Seaman III, Tomoyuki Kakizume, Heinz Schmidli:
Applying Meta-Analytic-Predictive Priors with the R Bayesian Evidence Synthesis Tools.
Volume 100, Number 20, 2021
- Nicole S. Erler, Dimitris Rizopoulos, Emmanuel M. E. H. Lesaffre:
JointAI: Joint Analysis and Imputation of Incomplete Data in R.
Volume 100, Number 21, 2021
- Barry Eggleston, Joseph G. Ibrahim, Becky McNeil, Diane Catellier:
BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data.
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