We are looking for a postdoc (up to five years) interested in climate-driven plant extinctions! Working with @manuelsteinbauer.bsky.social and me and a large team on various aspects of Earth system sciences.
More information here: fau-earth-system-science.github.io
I am very excited to contribute to this brand new programme and soon meet the first generation of young ecological forecasters here at #UBT!
@ecoforecast.bsky.social
#PhDPosition in Ecological #DataScience in our group. For details, see www.uni-regensburg.de/universitaet... #MachineLearning #AI #DeepLearning #Statistics #Ecology #AcademicJobs
No worries, this is clear. It confirms what I thought, so my response remains unchanged.
gllvm does not specify the random effects covariance matrix in the same way, it is for the covariate effects instead, so that for a single covariate you get only a variance.
If "trait" is not passed as covariate but as keyword, this may exactly be what gllvm does with formula = ~ (covariate|1), I think as the columns are implicit.
Random effects are assumed to be specific to the columns.
Yes.
What does that mean for the covariance matrix for that random term?
In this article, we present the case for Generalized Linear Latent Variable Models (GLLVMs) as a go-to choice of statistical method for any community ecologist wanting to tackle a range of present-day ecological research questions. GLLVMs bring tools and capabilities from classic (mixed-effects) regression models to multivariate community analysis, providing a number of novel ways to tailor models specifically to oneβs study questions and data properties not available when using non-model-based multivariate methods. In order to facilitate further adoption of these methods by community ecologists, we provide 1) a practitioner-focused and practical overview of the advantages the GLLVM framework brings to the table when addressing different core ecological questions, 2) a number of concrete suggestions for how GLLVMs best can be incorporated into the analytical workflow of community ecologists, and 3) two illustrative worked examples of this workflow in action on real-world data.
Nice! A Practitionerβs Guide to Latent Variable Modelling for Community Ecology doi.org/10.32942/X2K... #ecopubs
It may be possible to trick gllvm by smartly formulating the data and adding some NAs, but it's going to be painful.
Unless I misunderstand what MCMCglmm does exactly.
'formula' assumes column-specific random effects with a covariate by covariate covariance matrix.
So here, 'line' is a single covariate, so you'll get a single variance parameter.
No reason why gllvm could not do something else but we did not have the foresight that someone would try this.
The difficulty is that MCMCglmm passes 'trait' as covariate, whereas it also corresponds to the responses?
gllvm is not quite setup to accommodate a structure like that (yet?), as covariates are assumed to not be response-specific.
I'm not very familiar with the MCMCglmm syntax unfortunately, but....
- The 'family' argument is specified in the same way
- an unstructured residual covariance is not possible in gllvm (well, via LVs... so num.lv =..)
- formula = ~(0+line|trait) conceptually corresponds to 'random', I think.
Bluesky works, e-mail works, github discussions works too. I'm not particularly picky.
In case you're looking for an answer from Jenni Niku instead, e-mail or github, because I believe she is not on bluesky.
@rtbecard.bsky.social
Registration is now open for the Physalia online course GLLVMs: Advanced Multivariate Analysis in R (7β10 July) led by
@vdveenb.bsky.social
Join us to learn model-based ordination, JSDMs, and multispecies GL(M)Ms. Hands-on in R!
www.physalia-courses.org/courses-work...
#Ecology #RStats #GLLVM
University of Bayreuth launches elite masterβs programme in Ecological Forecasting
www.uni-bayreuth.de/en/press...
#Elitestudiengang #UBT #UniBayreuth #Ecological #Forecasting #StudierenInBayreuth
Shared from my PhD labβs WhasApp chat, how a journal published a paper about the Arctic fox which is 100% an AI hallucination, and journal isnβt retracting it.
www.canids.org/resources/Le...
Damn depressing how fake science and AI is increasingly flooding real science and real work.
Send help @gsimpson.bsky.social.
I find myself writing an argument for #GAMs.
My data generating process is multivariate, but the univariate outcome is non-linear, so I can design a GAM that predicts well, while being an utterly misspecified model.
Is this how it starts? Am I part of the GAM cult now?
The next round of NSO Grants is now open! Apply by 29th April for the Networking and Education or the Early-Career Researcher Grant. Check out full application guidelines here: vist.ly/4tpjk
and become a member before applying: vist.ly/4tpjh
π It's livestream day π
Join me at 1700 (CET; 1600 UCT) today for two hours of GAM goodness π€€
π½οΈ Youtube: youtube.com/live/A9U8e1K...
Hit the Notify me π to get a reminder when I go live
#RStats #mgcv #statistics #GAMs #DataScience π§ͺ
Hehe, not really. If there are sufficient colleagues, and there is some travel funding, drop me an email at Bert.van-der-Veen@uni-bayreuth.de and we can see what may be arranged.
Yes, I organised a few last year. Thanks for noticing!
I don't have many plans yet for this year, but that can always change if there is sufficient interest.
At least I will organise the workshop with @physaliacourses.bsky.social again github.com/BertvanderVe..., but plans are not yet concrete.
Oh, I don't care in which repository the data is archived.
This issue has cropped up in various flavours. Most recently it concerned a paper that was supposed to archive the data upon publication in dryad, but it wasn't actually submitted to dryad, and this paper wasn't published recently either.
I'm getting real sick and tired of journals referring me to either a) the authors or b) data dryad, when I inquire after a paper's data, that was promised in the data statement.
Surely, if data archiving is promised, the journal and publisher have a responsibility for seeing this through. #ecoevo
a graph showing how LLMs do or do not p-hack
While LLMs will try to follow good research practices by default, you can pretty easily convince them to p-hack for you. In one case (out of the 4 tested), the LLM moved the result from p > 0.05 to p < 0.001. github.com/janetmalzahn...
Come work with us! π§ͺππ§βπ»πΏπΈβοΈ
I am hireing a #postdoc in Climate Change Ecology to work on Ecological Synthesis and support the upcoming #IPCC report as a Chapter Scientist (CH14: terrestrial, freshwater and cryopspheric biodiversity, ecosystems, and services. #IPCC #AR7
@ipcc.bsky.social
It'll probably make it to CRAN in March.
Please don't old your breath, #gllvm management may take a day to get back to me.
One moment, will check
