The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded

S Nakagawa, PCD Johnson… - Journal of the Royal …, 2017 - royalsocietypublishing.org
The coefficient of determination R 2 quantifies the proportion of variance explained by a
statistical model and is an important summary statistic of biological interest. However …

Guidance for decisions using the Vector Autoregressive Spatio-Temporal (VAST) package in stock, ecosystem, habitat and climate assessments

JT Thorson - Fisheries Research, 2019 - Elsevier
Fisheries scientists provide stock, ecosystem, habitat, and climate assessments to support
interdisplinary fisheries management in the US and worldwide. These assessment activities …

boral – Bayesian Ordination and Regression Analysis of Multivariate Abundance Data in r

FKC Hui - Methods in Ecology and Evolution, 2016 - Wiley Online Library
Model‐based methods have emerged as a powerful approach for analysing multivariate
abundance data in community ecology. Key applications include model‐based ordination …

Native bacteria and cyanobacteria can influence seedling emergence and growth of native plants used in dryland restoration

FA Dadzie, AT Moles, TE Erickson… - Journal of Applied …, 2022 - Wiley Online Library
Seed‐based ecosystem restoration has huge potential to restore degraded drylands.
However, fewer than 10% of directly sown seeds transition to established seedlings. One of …

Insurance premium prediction via gradient tree-boosted Tweedie compound Poisson models

Y Yang, W Qian, H Zou - Journal of Business & Economic Statistics, 2018 - Taylor & Francis
The Tweedie GLM is a widely used method for predicting insurance premiums. However, the
structure of the logarithmic mean is restricted to a linear form in the Tweedie GLM, which can …

Three problems with the conventional delta-model for biomass sampling data, and a computationally efficient alternative

JT Thorson - Canadian Journal of Fisheries and Aquatic …, 2018 - cdnsciencepub.com
Ecologists often analyse biomass sampling data that result in many zeros, where remaining
samples can take any positive real number. Samples are often analysed using a “delta …

Generalized linear latent variable models for multivariate count and biomass data in ecology

J Niku, DI Warton, FKC Hui, S Taskinen - Journal of Agricultural, Biological …, 2017 - Springer
In this paper we consider generalized linear latent variable models that can handle
overdispersed counts and continuous but non-negative data. Such data are common in …

Performance evaluation of cetacean species distribution models developed using generalized additive models and boosted regression trees

EA Becker, JV Carretta, KA Forney… - Ecology and …, 2020 - Wiley Online Library
Species distribution models (SDMs) are important management tools for highly mobile
marine species because they provide spatially and temporally explicit information on animal …

You must choose, but choose wisely: Model-based approaches for microbial community analysis

MFA Leite, EE Kuramae - Soil Biology and Biochemistry, 2020 - Elsevier
Soil microbial community data produced by next-generation sequencing platforms has
introduced a new era in microbial ecology studies but poses a challenge for data analysis …

Basin-wide estimates of loggerhead turtle abundance in the Mediterranean Sea derived from line transect surveys

A DiMatteo, A Cañadas, J Roberts, L Sparks… - Frontiers in Marine …, 2022 - frontiersin.org
Loggerhead turtles are a globally vulnerable species of marine turtle. Broad-scale patterns
of distribution and abundance can provide regional managers a tool to effectively conserve …