"pdfmole/holiglm" Vienna R

We are back and happy to see you again with 2 talks by Florian and his brother Benjamin Schwendinger presenting 2 packages they have been working on recently.
AGENDA
19:15 Introduction (15min)
19:30 pdfmole - Extracting Tables from PDF files (Florian Schwendinger)
20:15 holiglm - Holistic Generalized Linear Models (Benjamin Schwendinger)

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.

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