What Are Technical Notes at useR! ?
useR! has elevator pitches that allow presenters to quickly present their work and interact with useRs, discussing their work based on pre-circulated input. This input may come in the format of a technical note. Technical notes are brief technical description, beyond a mere abstract, but shorter than a whole paper or package documentation. The below list gives an overview of all submitted technical notes.
- Technical Note 108: Perform Chromatin Segmentation Analysis in R
- Technical Note 138: Partial Least Squares Regression for Beta Regression Models
- Technical Note 139: Statistical Workflows in R for Imaging Mass Spectrometry Data
- Technical Note 146: tramME: Transformation Models with Mixed Effects
- Technical Note 154: Bringing Auto-diff to R packages
- Technical Note 164: Network Reverse Engineering with Approximate Bayesian Computation
- Technical Note 186: Technical note on Cumulative Link Mixed Models (CLMMs) in R with the package ‘ordinal’
- Technical Note 187: Navigating Insurance Claim Data through Tidymodels Universe
- Technical Note 208: Teaching Biology students to code smoothly with learnr and gradethis
- Technical Note 222: Fitting the beta distribution for the intra-apiary dynamics study of the infestation rate with Varroa Destructor in honey bee colonies
- Technical Note 233: Boehringer Ingelheim initiative on Data Access and dynamic Visualization for Clinical Insights (DaVinci)
- Technical Note 236: How GitHub Actions allows us to automate the integration and deployment of our techguides webpage
- Technical Note 257: Decision support using R and DataOps at a European Union bank regulator