Welcome to Seroanalytics

A suite of open-source tools for exploring, modeling and understanding serological data.

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Simulate

serosim logo Project Status: Active – The project has reached a stable, usable state and is being actively developed. GitHub last commit

serosim is an R package for simulating serological data from user-specified vaccine or infection-generated and antibody kinetics processes.

/serosim (docs)
Visualise

seroviz logo Project Status: Active – The project has reached a stable, usable state and is being actively developed. GitHub last commit

SeroViz is an online tool for visualising surveillance and exposure data. Scale and disaggregate, fit splines, and download plots.

https://seroviz.seroanalytics.org (web app)
Model

serosolver Project Status: Active – The project has reached a stable, usable state and is being actively developed. GitHub last commit

serosolver is an R package using a hierarchical model with a custom Markov chain Monte Carlo sampler to simultaneously infer antibody kinetics and infection histories from cross-sectional or longitudinal serological data.

/serosolver (docs)

epikinetics Project Status: Active – The project has reached a stable, usable state and is being actively developed. GitHub last commit

epikinetics is an R package for Bayesian hierarchical modelling of antibody kinetics.

/epikinetics (docs)

serojump Project Status: Active – The project has reached a stable, usable state and is being actively developed. GitHub last commit

serojump is an R package providing tools for fitting serological models to antibody kinetics data using reversible-jump Markov Chain Monte Carlo (RJ-MCMC).

/serojump (docs)