Alternatives and similar repositories for distancing-impact-covid19

Users that are interested in distancing-impact-covid19 are comparing it to the libraries listed below

• seananderson / covidseir
  Bayesian SEIR model to estimate the effects of social-distancing on COVID-19
  ☆27Updated 4 years ago
• djnavarro / robust-tools
  Course materials for my "Robust Tools" class
  ☆23Updated 5 years ago
• epiforecasts / socialmixr
  R package for deriving social mixing matrices from survey data.
  ☆42Updated this week
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆40Updated 3 years ago
• mclements / microsimulation
  R package for microsimulation
  ☆41Updated last month
• epiforecasts / scoringutils
  Utilities for Scoring and Assessing Predictions
  ☆59Updated this week
• gkonstantinoudis / ExcessDeathsCOVID
  Excess deaths due to COVID-19 pandemic in 2020
  ☆11Updated 3 years ago
• n-kall / priorsense
  priorsense: an R package for prior diagnostics and sensitivity
  ☆67Updated last month
• ImperialCollegeLondon / epidemia
  epidemia package
  ☆48Updated 3 years ago
• vincentarelbundock / rethinking2
  ☆81Updated 2 years ago
• ssp3nc3r / rethinking
  Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
  ☆50Updated 6 years ago
• WorldHealthOrganization / godataR
  R package for easier interactions with the Go.Data API
  ☆13Updated 2 years ago
• LucyMcGowan / user2020-causal-inference
  ☆77Updated 5 years ago
• malcolmbarrett / designing.ggplots
  Install Workshop Materials for Designing ggplots
  ☆48Updated 6 years ago
• mac-theobio / McMasterPandemic
  SEIR+ model
  ☆19Updated 4 months ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated 2 years ago
• elliottmorris / R-for-political-data
  A repo for analysis of political data in the R statistical programming language.
  ☆58Updated 6 years ago
• mrc-ide / sircovid
  ☆29Updated 5 months ago
• cdriveraus / ctsem
  Hierarchical continuous time state space modelling
  ☆43Updated last month
• kaskr / tmbstan
  ☆33Updated 9 months ago
• goldingn / covid19_australia_interventions
  Quantifying the impacts of public health interventions on transmission of COVID-19 in Australia
  ☆13Updated 2 years ago
• mpascariu / MortalityLaws
  Fit and compare the most popular human mortality laws - R package
  ☆34Updated 7 months ago
• timriffe / covid_age
  COVerAGE-DB: COVID-19 cases, deaths, and tests by age and sex
  ☆58Updated 2 years ago
• spinkney / helpful_stan_functions
  ☆78Updated last month
• epiforecasts / EpiNow
  Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
  ☆33Updated 2 years ago
• ajnafa / Latent-Bayesian-MSM
  Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science
  ☆21Updated 3 years ago
• saudiwin / idealstan
  idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying…
  ☆56Updated 2 months ago
• aaronrudkin / autumn
  autumn: Fast, Modern, and Tidy-Friendly Iterative Raking in R.
  ☆44Updated last year
• alexpghayes / rmarkdown_homework_template
  an rmarkdown template for stats homework with automatic code appendix
  ☆35Updated 3 years ago
• gasparrini / ItalyCOVIDdeath
  Two-stage interrupted time series analysis of excess mortality in Italy during the COVID-19 pandemic
  ☆17Updated 9 months ago