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 | 7556* | 2017 |
Template model builder TMB K Kristensen, A Nielsen, CW Berg, H Skaug, B Bell J. Stat. Softw 70, 1-21, 2015 | 935* | 2015 |
glmmTMB: generalized linear mixed models using template model builder A Magnusson, H Skaug, A Nielsen, C Berg, K Kristensen, M Maechler, ... R package version 0.1 3, 2017 | 416* | 2017 |
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 | 164 | 2015 |
glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J. 9, 378–400. doi: 10.32614 ME Brooks, K Kristensen, KJ van Benthem, A Magnusson, CW Berg, ... RJ-2017-066, 2017 | 159 | 2017 |
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 | 106 | 2015 |
Implementing a generic method for bias correction in statistical models using random effects, with spatial and population dynamics examples JT Thorson, K Kristensen Fisheries Research 175, 66-74, 2016 | 103 | 2016 |
glmmTMB: Generalized linear mixed models using template model builder. R package version 0.1. 3 A Magnusson, H Skaug, A Nielsen, C Berg, K Kristensen, M Maechler, ... ʺ, 2017 | 83 | 2017 |
No-U-turn sampling for fast Bayesian inference in ADMB and TMB: Introducing the adnuts and tmbstan R packages CC Monnahan, K Kristensen PloS one 13 (5), e0197954, 2018 | 81 | 2018 |
Statistical modeling of patterns in annual reproductive rates ME Brooks, K Kristensen, MR Darrigo, P Rubim, M Uriarte, E Bruna, ... Ecology 100 (7), e02706, 2019 | 73 | 2019 |
Validation of ecological state space models using the Laplace approximation UH Thygesen, CM Albertsen, CW Berg, K Kristensen, A Nielsen Environmental and Ecological Statistics 24, 317-339, 2017 | 73 | 2017 |
Estimating spatio-temporal dynamics of size-structured populations K Kristensen, UH Thygesen, KH Andersen, JE Beyer Canadian Journal of Fisheries and Aquatic Sciences 71 (2), 326-336, 2014 | 70 | 2014 |
Evaluation of alternative age-based methods for estimating relative abundance from survey data in relation to assessment models CW Berg, A Nielsen, K Kristensen Fisheries research 151, 91-99, 2014 | 60 | 2014 |
glmmTMB: Generalized linear mixed models using template model builder M Brooks, B Bolker, K Kristensen, M Maechler, A Magnusson, ... R package, 2022 | 55 | 2022 |
glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. The R Journal. 2017; 9 (2): 378–400 ME Brooks, K Kristensen, KJ Van Benthem, A Magnusson, CW Berg, ... RJ-2017-066, 2018 | 49 | 2018 |
Nursery areas and recruitment variation of Northeast Atlantic mackerel (Scomber scombrus) T Jansen, K Kristensen, J Van der Kooij, S Post, A Campbell, KR Utne, ... ICES Journal of Marine Science 72 (6), 1779-1789, 2015 | 44 | 2015 |
Spatial age-length key modelling using continuation ratio logits CW Berg, K Kristensen Fisheries Research 129, 119-126, 2012 | 44 | 2012 |
Modelling the distribution of fish accounting for spatial correlation and overdispersion P Lewy, K Kristensen Canadian Journal of Fisheries and Aquatic Sciences 66 (10), 1809-1820, 2009 | 42 | 2009 |
Long-term retrospective analysis of mackerel spawning in the North Sea: a new time series and modeling approach to CPR data T Jansen, K Kristensen, M Payne, M Edwards, C Schrum, S Pitois PLoS One 7 (6), e38758, 2012 | 39 | 2012 |
Bridging the gap between commercial fisheries and survey data to model the spatiotemporal dynamics of marine species MC Rufener, K Kristensen, JR Nielsen, F Bastardie Ecological Applications 31 (8), e02453, 2021 | 38 | 2021 |