After a longer COVID break we are happy to announce the upcoming ViennaR Meetup on Thursday, November 10! 🙌🎉🥳
The (live) Meetup is hosted at TU Vienna, the legendary Goldenes Lamm, Seminarraum 107/1 - where some R-Core magic happened.
Note, that this meetup is hybrid and also available virtually via Zoom. Please register separately at https://www.meetup.com/viennar/events/289309745/ in case you want to attend virtually. International guests welcome!
AGENDA
- 18:00 Doors Open
- 18:15 Introduction (15min, Start of Virtual Meetup)
- 18:30 pdfmole - Extracting Tables from PDF files (Florian Schwendinger)
- 19:15 holiglm - Holistic Generalized Linear Models (Benjamin Schwendinger)
- 20:00 (End)
DETAILS
pdfmole
To read-in the data either
In principle, any package which returns the data in a similar format could be used. The packages pdfminer and pdfboxr can be used if the PDF-file store already the text (in most cases) if the PDF contains only images of the tables tesseract can be used.
holiglm
Holistic linear regression extends the classical best subset selection problem by adding additional constraints designed to improve the model quality. These constraints include sparsity-inducing constraints, sign-coherence constraints and linear constraints. The R package holiglm provides functionality to model and fit holistic generalized linear models. By making use of state-of-the-art conic mixed-integer solvers, the package can reliably solve GLMs for Gaussian, binomial and Poisson responses with a multitude of holistic constraints. The high-level interface simplifies the constraint specification and can be used as a drop-in replacement for the stats::glm() function.
Please feel free to join the networking session at a pub nearby.
Greetings,
Your ViennaR organizers
👉REGISTER FOR LIVE MEETUP 👉REGISTER FOR VIRTUAL MEETUP
Make code, not war! ✌❤️
