Duncan O’Brien
@duncanobrien.bsky.social
Research associate at the University of Bristol and NINA. Critical transitions, dynamics, and conservation action in aquatic ecosystems. #Rstats, ecology, tipping points
Website: http://duncanobrien.github.io
Website: http://duncanobrien.github.io
January 6, 2025 at 6:09 PM
Would dynamite (docs.ropensci.org/dynamite/) help with this or is it too far removed from the SEM framework?
Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data
Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2024) <doi:10.1016/j.alcr.2024.100617>. The ...
docs.ropensci.org
December 17, 2024 at 5:51 PM
Would dynamite (docs.ropensci.org/dynamite/) help with this or is it too far removed from the SEM framework?
Feature 1 would be my new feature preference. Very excited to hear that it’s (potentially) coming.
December 3, 2024 at 3:57 PM
Feature 1 would be my new feature preference. Very excited to hear that it’s (potentially) coming.
Completely agree, and it’s likely the challenge of empirically estimating them. I’ve had a few ideas on how to do so (doi.org/10.1111/gcb....), but think many methods are inappropriate for most ecological time series.
Do you have any opinions about the best approaches for identifying time lags?
Do you have any opinions about the best approaches for identifying time lags?
Planktonic functional diversity changes in synchrony with lake ecosystem state
Using species-level plankton trait and abundance data from five highly monitored lakes, we determined the timing of functional diversity change relative to ecosystem state/functioning. Simple cross-c....
doi.org
November 24, 2024 at 10:50 PM
Completely agree, and it’s likely the challenge of empirically estimating them. I’ve had a few ideas on how to do so (doi.org/10.1111/gcb....), but think many methods are inappropriate for most ecological time series.
Do you have any opinions about the best approaches for identifying time lags?
Do you have any opinions about the best approaches for identifying time lags?