Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJournal of Statistical Software, Volume 105
Volume 105, Number 1, 2023
- Luigi Augugliaro, Gianluca Sottile
, Ernst C. Wit, Veronica Vinciotti:
cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values.
Volume 105, Number 2, 2023
- 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:
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression.
Volume 105, Number 3, 2023
- Michael Dumelle, Tom Kincaid, Anthony R. Olsen, Marc Weber:
spsurvey: Spatial Sampling Design and Analysis in R.
Volume 105, Number 4, 2023
- Leonardo Rydin Gorjão, Dirk Witthaut, Pedro G. Lind:
jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets.
Volume 105, Number 5, 2023
- Sy Han Chiou, Gongjun Xu, Jun Yan, Chiung-Yu Huang:
Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg.
Volume 105, Number 6, 2023
- Pavel N. Krivitsky, David R. Hunter, Martina Morris, Chad Klumb:
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models.
Volume 105, Number 7, 2023
- Nicholas J. Tierney, Dianne Cook:
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations.
Volume 105, Number 8, 2023
- Gilles Kratzer, Fraser Iain Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer:
Additive Bayesian Network Modeling with the R Package abn.
Volume 105, Number 9, 2023
- Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel:
Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG.
Volume 105, Number 10, 2023
- John Paul Helveston:
logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations.
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-07-20 21:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
