We will be running a free online seminar on Generalised Linear Latent Variable Models (GLLVMs).
Date and time: Monday, 26 May 2025; 14:00–16:00 UK time.
To join the seminar via Zoom, visit highstat.com and navigate to Seminars.
Please share. 2 tenure-track T&R math/stat jobs at the University of Queensland, Australia. Amazing weather, gorgeous campus & lifestyle. 17% employer retirement contribution, lots of leave. Strong global reputation. Supports diversity @stevenstrogatz.com uq.wd3.myworkdayjobs.com/en-US/uqcare...
Excited that this has arrived! One of the first accessible texts for ecologists that want to apply #GLLVMs
A few months until the end of my postdoc contract. Norway has defunded a good part of the academic system, so opportunities are limited. I will try to apply for my own funding, but pending potential failure, if someone has a job opportunity that might suit me I would be happy to have a chat!
Free online seminar: Fitting a regression model with spatial correlation using R-INLA
In this seminar, we will demonstrate the integration of a spatial correlation structure into a linear regression model using R-INLA.
To join, visit highstat.com and then click on Seminars.
Hybrid (onsite and online): Introduction to GAMM and GLMM with R - With GAM applications to spatial, and spatial-temporal data. 10-14 February 2025, DTU, Lyngby, Denmark. Flyer: www.highstat.com
My first post here seems appropriate...after the arrival of my second child 4 weeks ago he gifted me with maybe 4 hours sleep too begin day 2 of a 5 day R statistics course with @alainzuur.bsky.social
However, yesterday was hugely informative so I'm looking forward to getting to grips with GVLMM
If anyone has a dataset they’d be willing to share (or knows of one that fits the bill), I’d be incredibly grateful.
As a thank-you, I’ll send a free copy of the book once it’s published.
Appealing data: Something interesting or relatable, like elephants or penguins. Ideally not rats or worms—they don’t tend to grab attention quite the same way.
100+ spatial locations: Nicely distributed—no overly clumped data, please.
A couple of covariates: Enough to allow for meaningful modeling but not overly complex.
I’m currently working on a book about regression models with spatial, temporal, and spatial-temporal correlation for Chapman and Hall.
Challenge #1: I need a good dataset for a Gaussian linear regression model with spatial correlation. To make it a compelling example, here’s what I’m looking for:
𝚝𝚒𝚗𝚢𝚝𝚊𝚋𝚕𝚎 0.6.1 for #Rstats is out!
It's an ultra simple, super flexible, and 0-dependency package to draw beautiful tables in HTML, LaTeX, Typst, Word, PDF, and PNG.
And for those who ❤️ documentation, 𝚝𝚒𝚗𝚢𝚝𝚊𝚋𝚕𝚎 ships with a billion pages of tutorials:
vincentarelbundock.github.io/tinytable/
Advice: Pay for the lounge in Stavanger and in ABZ…otherwise you get mad from the noise
Sunny in the afternoon…you are lucky
That is brave. A little bit of snow here means that the whole country comes to an halt. The 09.00 ABZ-AMS flight is cancelled.
I'm giving an invited talk at the conference of the Dutch association for ordination and classification tomorrow. The slides can be found here:
github.com/BertvanderVe...
#GLLVM
There would be a lot of interest!
