Vienna<-R 2022 November Meetup (live/virtual)

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

• pdfminer
• pdfboxr or
• 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.

👉Github

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.

👉Github

Please feel free to join the networking session at a pub nearby.

Greetings,

Your ViennaR organizers

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Make code, not war! ✌❤️