Our Tools
Bridging the Gap Between Research and Application. At Dark Peak Analytics, we don’t just build models; we build the infrastructure that makes modeling better.
While we maintain a private codebase for bespoke client projects, we are committed to the Open Science movement. Below is a collection of our open-source contributions and licensable tools designed to bring transparency and reproducibility to the wider health economics community.
Expert Elicitation Platform
Structured Expert Elicitation (SEE) is a method to quantify uncertainty when data is scarce. The SEE Platform simplifies the process of collecting expert judgements.
Geospatial Analysis Platform
Our geospatial optimisation analysis platform allows users to better understand access to medicines in the UK, identify the optimal sites for new service/medicine provision and estimate the impact of improving access. Check out our talks linked below.
assertHE - Model review
Open source R package 'assertHE' is has been used extensively to review & validate the codebase of health economic decision models.
QALY Shortfall
QALY Shortfall Calculator, built by Paul and the team in collaboration with the University of York.
DCEA
Health Equity Impact Calculator App built by Paul and the team in collaboration with the University of York.
Sadm-mk2
A simple prototype of a clean web-based user interface for a time-dependant Markov model. It highlights some of the advantages that R/Shiny can offer: stakeholders can directly interact with the model and run their own scenarios.
heRvis
Shiny App used to build visualizations for Health Economic Evaluations which incorporate uncertainty.
sicksickerPack
R package version of the Sick Sicker model originally developed by the DARTH group, and used in our paper 'Packaging cost-effectiveness models'
hotShiny
Coming SoonWhat if Shiny was hotter?