glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling ME Brooks, K Kristensen, KJ Van Benthem, A Magnusson, CW Berg, ... The R journal 9 (2), 378-400, 2017 | 8132* | 2017 |
AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models DA Fournier, HJ Skaug, J Ancheta, J Ianelli, A Magnusson, MN Maunder, ... Optimization Methods and Software 27 (2), 233-249, 2012 | 2151 | 2012 |
glmmADMB: generalized linear mixed models using AD Model Builder. R package version 0.8. 0 H Skaug, D Fournier, A Nielsen, A Magnusson, B Bolker | 1163* | 2016 |
TMB: automatic differentiation and Laplace approximation K Kristensen, A Nielsen, CW Berg, H Skaug, B Bell Journal of Statistical Software 70 (5), 1-21, 2016 | 965 | 2016 |
Geostatistical delta-generalized linear mixed models improve precision for estimated abundance indices for West Coast groundfishes JT Thorson, AO Shelton, EJ Ward, HJ Skaug ICES Journal of Marine Science 72 (5), 1297-1310, 2015 | 315 | 2015 |
Modeling zero-inflated count data with glmmTMB ME Brooks, K Kristensen, KJ van Benthem, A Magnusson, CW Berg, ... BioRxiv, 132753, 2017 | 299 | 2017 |
Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models HJ Skaug, DA Fournier Computational Statistics & Data Analysis 51 (2), 699-709, 2006 | 237 | 2006 |
Bridging the ensemble Kalman filter and particle filters: the adaptive Gaussian mixture filter AS Stordal, HA Karlsen, G Nævdal, HJ Skaug, B Vallès Computational Geosciences 15, 293-305, 2011 | 236 | 2011 |
Getting started with the glmmADMB package B Bolker, H Skaug, A Magnusson, A Nielsen | 214 | 2012 |
Close-kin Mark-Recapture MV Bravington, HJ Skaug, EC Anderson Statistical Science 31 (2), 259-274, 2016 | 212 | 2016 |
Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range JT Thorson, MD Scheuerell, AO Shelton, KE See, HJ Skaug, K Kristensen Methods in Ecology and Evolution 6 (6), 627-637, 2015 | 167 | 2015 |
Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS BM Bolker, B Gardner, M Maunder, CW Berg, M Brooks, L Comita, ... Methods in Ecology and Evolution 4 (6), 501-512, 2013 | 135 | 2013 |
Abundance of minke whales (Balaenoptera acutorostrata) in the Northeast Atlantic: variability in time and space HJ Skaug, N Øien, T Schweder, G Bøthun Canadian Journal of Fisheries and Aquatic Sciences 61 (6), 870-886, 2004 | 132 | 2004 |
A nonparametric test of serial independence based on the empirical distribution function HJ Skaug, D Tjøstheim Biometrika 80 (3), 591-602, 1993 | 126 | 1993 |
The importance of spatial models for estimating the strength of density dependence JT Thorson, HJ Skaug, K Kristensen, AO Shelton, EJ Ward, JH Harms, ... Ecology 96 (5), 1202-1212, 2015 | 105 | 2015 |
Modeling zero-inflated count data with glmmTMB. bioRxiv, 132753 ME Brooks, K Kristensen, KJ Van Benthem, A Magnusson, CW Berg, ... DOI: https://doi. org/10.1101/132753, 2017 | 102 | 2017 |
Abundance of northeastern Atlantic minke whales, estimates for 1989 and 1995 T Schweder, HJ Skaug, X Dimakos, M Langaas, N Øien Rep. int. Whal. Commn 47, 453-483, 1997 | 99 | 1997 |
Nonparametric tests of serial independence HJ Skaug, D Tjøstheim Developments in Time Series Analysis: In Honour of Maurice B. Priestley (ed …, 1993 | 85 | 1993 |
Diet and food availability for northeast Atlantic minke whales Balaenoptera acutorostrata T Haug, U Lindstrøm, KT Nilssen, I Røttingen, HJ Skaug ICES working paper, 1995 | 82 | 1995 |
Determining individual variation in growth and its implication for life-history and population processes using the Empirical Bayes method S Vincenzi, M Mangel, AJ Crivelli, S Munch, HJ Skaug PLoS Computational Biology 10 (9), e1003828, 2014 | 81 | 2014 |