Sebastian Funk (sbfnk)

sbfnk

Geek Repo

Company:London School of Hygiene & Tropical Medicine

Location:London

Home Page:epiforecasts.io

Twitter:@sbfnk

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Organizations
JuliaEpi

Sebastian Funk's repositories

rbi

R package for Bayesian inference with state-space models using LibBi.

mfiidd

Model fitting and inference for infectious disease dynamics

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fitR

Functions for model fitting and inference

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rbi.helpers

Helper functions for inference with LibBi. Building on the rbi library.

epimixr

Epidemiological analysis using social mixing matrices

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epinowcast

Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.

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flusurvey

code for flusurvey analysis

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statistical-probabilistic-programming-r

Introduction to Probabilistic Programming

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allcontributors

all-contributions as an R package

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cmdstanr

CmdStanR: the R interface to CmdStan

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d12frosted.io

Personal site

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dev_guide

rOpenSci Packages: Development, Maintenance, and Peer Review

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dotfiles

My personal configuration

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dotfiles_old

@sbfnk does dotfiles

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ebola-cfr

Accompanying code for: Kucharski et al, Lancet, 2014

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ecdc-weekly-growth-forecasts

COVID-19 cases forecasts for the ECDC Forecast Hub

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Epidemiology

CRAN Task View: Epidemiology

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EpiNow2_backup

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

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homebrew-core

🍻 Default formulae for the missing package manager for macOS

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homebrew-formulae

Homebrew formulae for libbi

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regional-secondary

Prototype function for forecasting a secondary observation from a primary observation across multiple regions. An example application of this function can be found here: https://github.com/epiforecasts/covid-german-forecasts/blob/master/rt-forecast/update-death-from-cases.R. See the documentation of EpiNow2 for more details: https://epiforecasts.io/EpiNow2/dev/

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reveal.js

The HTML Presentation Framework

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roweb3

rOpenSci website source

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rstan

RStan, the R interface to Stan

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touchstone

Smart benchmarking of pull requests with statistical confidence

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