| 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, ... | 13649* | 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 | 2254 | 2012 |
| 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 | 1269 | 2016 |
| 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 | 1213* | 2016 |
| Modeling zero-inflated count data with glmmTMB ME Brooks, K Kristensen, KJ Van Benthem, A Magnusson, CW Berg, ... BioRxiv, 132753, 2017 | 443 | 2017 |
| 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 | 373 | 2015 |
| Close-kin Mark-Recapture MV Bravington, HJ Skaug, EC Anderson Statistical Science 31 (2), 259-274, 2016 | 264 | 2016 |
| glmmTMB: Generalized linear mixed models using template model builder M Brooks, B Bolker, K Kristensen, M Maechler, A Magnusson, H Skaug, ... (No Title), 2017 | 262 | 2017 |
| 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 (2), 293-305, 2011 | 260 | 2011 |
| Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models HJ Skaug, DA Fournier Computational Statistics & Data Analysis 51 (2), 699-709, 2006 | 257 | 2006 |
| Getting started with the glmmADMB package B Bolker, H Skaug, A Magnusson, A Nielsen | 224 | 2012 |
| 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 | 190 | 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 | 147 | 2013 |
| 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 | 146 | 2017 |
| A nonparametric test of serial independence based on the empirical distribution function HJ Skaug, D Tjøstheim Biometrika 80 (3), 591-602, 1993 | 142 | 1993 |
| 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 |
| 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 | 118 | 2015 |
| 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 | 97 | 1997 |
| Allele‐sharing methods for estimation of population size HJ Skaug Biometrics 57 (3), 750-756, 2001 | 96 | 2001 |
| Nonparametric tests of serial independence HJ Skaug, D Tjøstheim Developments in Time Series Analysis: In Honour of Maurice B. Priestley (ed …, 1993 | 90 | 1993 |
Arni MagnussonSenior Fisheries Scientist - SPC, New CaledoniaVerified email at spc.int
