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Modeling zero-inflated count data with glmmTMB
View ORCID ProfileMollie E. Brooks, Kasper Kristensen, Koen J. van Benthem, Arni Magnusson, Casper W. Berg, Anders Nielsen, Hans J. Skaug, Martin Mächler, View ORCID ProfileBenjamin M. Bolker
doi: https://doi.org/10.1101/132753
Mollie E. Brooks
aNational Institute of Aquatic Resources, Technical University of Denmark, Charlottenlund Slot, 2920 Charlottenlund, Denmark
bDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
Kasper Kristensen
aNational Institute of Aquatic Resources, Technical University of Denmark, Charlottenlund Slot, 2920 Charlottenlund, Denmark
Koen J. van Benthem
bDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
Arni Magnusson
cInternational Council for the Exploration of the Sea, H.C. Andersens Boulevard 44-46, 1553 Copenhagen, Denmark
Casper W. Berg
aNational Institute of Aquatic Resources, Technical University of Denmark, Charlottenlund Slot, 2920 Charlottenlund, Denmark
Anders Nielsen
aNational Institute of Aquatic Resources, Technical University of Denmark, Charlottenlund Slot, 2920 Charlottenlund, Denmark
Hans J. Skaug
dDepartment of Mathematics, University of Bergen, P.O. Box 7803, 5020 Bergen, Norway
Martin Mächler
eSeminar für Statistik, ETH Zurich, 8092 Zurich, Switzerland
Benjamin M. Bolker
fDepartment of Mathematics and Statistics, McMaster University, 1280 Main St W, L8S4L8 Hamilton, Ontario, Canada
gDepartment of Biology, McMaster University, 1280 Main St W, L8S4L8 Hamilton, Ontario, Canada
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Posted May 01, 2017.
Modeling zero-inflated count data with glmmTMB
Mollie E. Brooks, Kasper Kristensen, Koen J. van Benthem, Arni Magnusson, Casper W. Berg, Anders Nielsen, Hans J. Skaug, Martin Mächler, Benjamin M. Bolker
bioRxiv 132753; doi: https://doi.org/10.1101/132753
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