The Database Infrastructure for Mass Spectrometry (DIMSpec) project
A concept implementation of a serverless scraping web service
Report errors from R APIs using "Problem Details" (RFC 7807)
Examples of testing patterns in R — from simple unit tests to more complex structures like Plumber APIs.
An algorithm intended to predict the yield of any crop. Used Agricultural Data sets for building the Step-wise Regression Model. Technology Stack: R language, SQL, Linear Regression library, Plumber library, Swagger API
tradestatistics.io API, reads from PostgreSQL and provides tidy CSV and Apache Arrow data
tradestatistics.io API, reads from PostgreSQL and provides tidy CSV and Apache Arrow data
An example of using plumber along with React
Going through the tutorials for working with the Plumber package in R for developing web APIs: https://www.rplumber.io/
Example R Plumber Application on Heroku using heroku-docker-r
Minimal example of a R package backing a plumber API
2026 World Cup predictor: Dixon-Coles + XGBoost + Neural Net + Hierarchical Bayesian (Stan/brms), stacked via meta-learner. R API (plumber) + single-file HTML dashboard with live market odds. Walk-forward, temporal split, isotonic calibration, stacking beats simple average.
REST API for Mass Spectrometry Data Transfer
Rstudio development environment using docker compose
Plumber API service reverse proxied with NGINX
The main purpose of this project is provide a method to create a scalable API using R
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