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seir_covid19

SEIR model for COVID-19 infection, including different clinical trajectories of infection

seroprevalence-viz

Visualizations for the paper "Estimating SARS-CoV-2 seroprevalence and epidemiological parameters with uncertainty from serological surveys"

sha.jl

A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation

shadr

GLSL shaders in R

shields

Concise, consistent, and legible badges in SVG and raster format

showyourwork

A workflow for reproducible and open scientific articles.

simplechains.jl

Simple chains

simplevaluegraphs.jl

A LightGraphs.jl compatible graph package for graphs with multiple vertex, edge and graph metadata.

sir-julia

Various implementations of the classical SIR model in Julia

sismid

Pathogen evolution, selection and immunity

snn-sound-localization

Training spiking neural networks for sound localization

socialmediaegographanalysis

Ego Graph Analysis on Social Media.

socrates_rshiny

spread

spread contains different infectious disease spread models.

squire

SEIR transmission model of COVID-19. Documentation at:

sr2turingpluto.jl

StatisticalRethinking notebook project using Turing and Pluto notebooks (derived from Max Lapan's Jupyter project)

sta427_sm4ide

Repo for the course Statistical Methods in Infectious Disease Epidemiology at UZH

stan-dev.github.io

Stan website based on the So Simple Jekyll theme.

stat_rethinking_2022

Statistical Rethinking course winter 2022

statistical_inferences

Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens

statisticalmethods

Course notes and resources for Stanford University graduate course PHYS366: Statistical Methods in Astrophysics

statisticalrethinking.jl

Julia version of selected functions in the R package `rethinking`. Used in the StatisticalRethinkingStan and StatisticalRethinkingTuring projects.

statisticalrethinkingstan.jl

StatististicalRethinking using Stan and Pluto notebooks.

statisticswithjuliaplutonotebooks.jl

Pluto notebooks accompanying the book Statistics With Julia (https://statisticswithjulia.org).

stheno.jl

Probabilistic Programming with Gaussian processes in Julia

stochasticad.jl

Experimental, research package for automatic differentiation (AD) of stochastic programs.

structuralcausalmodels.jl

Initial look at directed acyclic graph (DAG) based causal models in regression.

surrogates.jl

Surrogate modeling and optimization for scientific machine learning (SciML)

surveil

Public Health Surveillance

survey.jl

Analysis of complex surveys