Florian Hartig
@florianhartig.bsky.social
2.5K followers 110 following 25 posts
Professor at U. Regensburg, Germany #Ecology #Evolution #Statistics #MachineLearning https://www.uni-regensburg.de/biologie-vorklinische-medizin/forschen/arbeitsgruppen/ag-hartig
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florianhartig.bsky.social
Our new study “Human and apex predators shape lower trophic levels through top-down control”, led by Ye Htet Lwin and conducted in in Htamanthi Wildlife Sanctuary, northwestern Myanmar, now out in Biological Conservation www.sciencedirect.com/science/arti...
florianhartig.bsky.social
I will soon open up calls for a PhD student (free choice of topic as long as it fits to our group) and a scientific programmer / ecological data scientist. If you know what we are doing and would like to join our team, feel free to get in touch.
Reposted by Florian Hartig
comecology.bsky.social
🌍 Excited to be part of the Global Ecology Starter Pack - a great way to discover and connect with people interested in ecology at large scales! go.bsky.app/F86HYqj

👉 If you’d like to join the next pack (Vol_3 is in the works), DM @global-ecology.bsky.social. 🌐
florianhartig.bsky.social
That being said, I agree that standard S3 functions schools conform to R defaults as far as possible and I’ll have a look at the example you point out … there are a number of other standard S3 functions that we still need to implement
florianhartig.bsky.social
deep neural networks in one line of R code, with convenient options for automatic hyperparameter tuning, xAI and bootstrapping.

The current CRAN version supports only fully connected DNNs, but our development version on GitHub also includes CNNs and multi-modal architectures.
florianhartig.bsky.social
Looking for a simple way to do #deeplearning in #Rstats? Check out cito, available on #CRAN via cran.r-project.org/web/packages... and presented in this recent Ecography paper nsojournals.onlinelibrary.wiley.com/doi/full/10....

Cito is an interface to torch for R and supports building and training
florianhartig.bsky.social
Nice! How do you see this in relation to ggeffects?
florianhartig.bsky.social
But why does the effect appear in the first place? We believe the reason is that as mutualism rates are predicted by latitude, mutualism and latitude are perfectly nonlinear confounded. Using only a linear model, nonlinear effects of latitude create spurious effects of mutualism.
florianhartig.bsky.social
The main issue we see is that the mutualism covariate is not measured, but predicted by a very simple model that only depends on latitude (R2 = 0.14). Predicting mutualism rates with a more precise model (R=0.39) removes any effect of this covariate in the main regression.
florianhartig.bsky.social
Well, I've heard it said that great minds think alike ... ;)
florianhartig.bsky.social
It may be time for a starter pack of ecology starter packs ...
Reposted by Florian Hartig
billurbektas.bsky.social
Just created a starter pack for ecological forecasting community! 🦋🍃 Please let me know if you want to be added!

go.bsky.app/Qk9PfFw
florianhartig.bsky.social
Our study "Analyzing longitudinal trait trajectories using #GWAS identifies genetic variants for kidney function decline" led by Simon Wiegrebe and Iris Heid just published via www.nature.com/articles/s41...
florianhartig.bsky.social
On my way back from a short visit at Uni Birmingham! Thanks Juliano Sarmento Cabral for inviting me!
Reposted by Florian Hartig
vdveenb.bsky.social
go.bsky.app/NiaWN5i

I'm happy to receive suggestions for this.
florianhartig.bsky.social
Our preprint "Calibration, sensitivity and uncertainty analysis of ecological models -- a review" with Anne Malchow now available at doi.org/10.22541/au.... Comments welcome!
florianhartig.bsky.social
DHARMa v0.4.7 #rstats package for #glmm residual diagnostics now available on #CRAN. Among other things, this version includes a new residual test for #phylogenetic correlation, as well as support for the #phylolm package. cran.r-project.org/web/packages...
Reposted by Florian Hartig
zurelllab.bsky.social
New paper on spatiotemporal population dynamics of #RedKite in Switzerland. We inversely fitted #RangeShifter to long-term monitoring data. This hugely reduced prediction #uncertainty. esajournals.onlinelibrary.wiley.com/doi/10.1002/... 1/n
Reposted by Florian Hartig
maximilianpichler.bsky.social
cito v1.1 #rstats package for deep neural networks (#DL #DNN) (with formula syntax) is now available on #CRAN. New features include likelihoods such as the negative binomial distribution and easy hyperparameter tuning: cran.r-project.org/web/packages...