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TECHNOLOGY · LANGUAGES
R
Statistical depth for actuarial, clinical and research work.
How we use it
R remains unmatched for statistical modelling, survival analysis, clinical-trial work and regulated actuarial workflows. We write production R using the tidyverse, targets and renv, deploy Shiny apps with Posit Connect, and integrate R seamlessly with Python and SQL pipelines.
Highlights
Statistical rigour
Generalised linear and mixed models, survival analysis, and Bayesian methods with brms and Stan.
Shiny applications
Production Shiny apps with golem, modules and Posit Connect for distribution.
Reproducibility
renv, targets and Quarto for fully reproducible analytical pipelines.
How Idiro helps
We bring senior engineers and data scientists who have delivered on R in production for regulated organisations. Engagements typically start with a short discovery, then move into a delivery sprint with measurable outcomes.
What we deliver
- Tidyverse-based data engineering
- Shiny app design, build and deployment
- Validated statistical models for regulated reporting
- R and Python interop with reticulate
- Posit Connect, Workbench and Package Manager setup
Talk to one of our consultants
Tell us about your goals and we will come back with a practical view of how to get there.