Vienna<-R 2022 November (live)

Dear ViennaR members,

The Meetup is hosted at the TU Vienna (Goldenes Lamm, Seminarraum 107/1). Please feel free to join the networking session at a pub nearby.

AGENDA

18:15 Introduction (15min)
18:30 pdfmole - Extracting Tables from PDF files (Florian Schwendinger)
19:15 holiglm - Holistic Generalized Linear Models (Benjamin Schwendinger)
20:00 (End)

DETAILS

1. pdfmole - To read-in the data either

• pdfminer https://github.com/FlorianSchwendinger/pdfminer
• pdfboxr https://gitlab.com/schwe/pdfboxr) or
• tesseract [https://CRAN.R-project.org/package=tesseract](https://cran.r-project.org/package=tesseract)) can be used.
  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.

2. 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.

Note, that this meetup is hybrid and is also available in virtually via Zoom. Please register separately at https://www.meetup.com/viennar/events/289309745/ in case you want to attend virtually.

Greetings,
ViennaR organizers