Reusable tools and packages developed by the group. See also our ongoing projects and publications .
Most packages are on CRAN. The rest can be installed from our r-universe :
install.packages (
"packagename" ,
repos = c ("https://epiforecasts.r-universe.dev" , getOption ("repos" ))
)
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
R · Updated Oct 2026 · 991 CRAN downloads/month
A modular Bayesian framework for real-time infectious disease surveillance. Provides tools for nowcasting, reproduction number estimation, delay estimation, and forecasting from data subject to reporting delays, right-truncation, missing data, and incomplete ascertainment
R · Updated Oct 2026
Utilities for Scoring and Assessing Predictions
R · Updated Sep 2026 · 1,865 CRAN downloads/month
Derive social mixing matrices from survey data.
R · Updated Sep 2026 · 854 CRAN downloads/month
Bayesian inference with state-space models using LibBi.
R · Updated Sep 2026 · 382 CRAN downloads/month
Simulate infectious disease transmission with contact tracing
R · Updated Oct 2026 · 306 CRAN downloads/month
Baseline nowcasting methods for correcting reporting delays in epidemiological data.
R · Updated Sep 2026 · 719 CRAN downloads/month
Methods for simulating and analysing the sizes and lengths of infectious disease transmission chains from branching process models
R · Updated Aug 2026 · 317 CRAN downloads/month
Model stacking for predictive ensembles
Helper functions for inference with LibBi. Building on the rbi library.
R · Updated Aug 2026 · 319 CRAN downloads/month
Epidemiological analysis using social mixing matrices
Function and example for quantile regression average
Real-time case fatality ratio from a line list via a Bayesian mixture-cure survival model
Robust Julia setup for R packages that wrap a Julia engine via JuliaCall
Define probability distributions with certain or uncertain parameters
R · Updated Oct 2026 · 337 CRAN downloads/month
forecastbaselines: R interface to ForecastBaselines.jl
socialmixr
Derive social mixing matrices from survey data.