Alternatives and similar repositories for COVIDNPIs:

Users that are interested in COVIDNPIs are comparing it to the libraries listed below

• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆58Updated 4 years ago
• InstituteforDiseaseModeling / synthpops
  Create synthetic populations for COVID-19 epidemic analyses.
  ☆45Updated 2 months ago
• jg-you / noisy-networks-measurements
  Noisy network measurement with stan
  ☆55Updated 3 years ago
• epiforecasts / EpiNow
  Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
  ☆33Updated last year
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆41Updated 8 months ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 3 months ago
• epiforecasts / socialmixr
  R package for deriving social mixing matrices from survey data.
  ☆38Updated last month
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆70Updated 6 months ago
• dsheldon / covid
  Bayesian modeling of COVID-19
  ☆31Updated 2 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• avehtari / casestudies
  ☆26Updated 3 months ago
• SenPei-CU / COVID-19
  ☆31Updated 4 years ago
• iamlemec / fastreg
  Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.
  ☆60Updated last year
• vcbradley / ddc-vaccine-US
  Repo for code for "Unrepresentative Surveys Significantly Overestimate Vaccine Uptake in the US"
  ☆13Updated 3 years ago
• cmmid / covid-age
  Analysis code and data for COVID-19 age-specific clinical fraction
  ☆22Updated 4 years ago
• ehkennedy / npcausal
  ☆93Updated last year
• pzivich / zEpid
  Epidemiology analysis package
  ☆142Updated last year
• pzivich / Delicatessen
  Delicatessen: the Python one-stop sandwich (variance) shop 🥪
  ☆22Updated last month
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆18Updated 7 months ago
• CausalInference / pygformula
  The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…
  ☆23Updated 2 months ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆38Updated 4 years ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• kieshaprem / synthetic-contact-matrices
  Updates to the synthetic contact matrices
  ☆36Updated last year
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆37Updated 2 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆48Updated last month
• LarremoreLab / covid_serological_sampling
  ☆13Updated 3 years ago
• mobs-lab / mixing-patterns
  Inferring high-resolution human mixing patterns for disease modeling
  ☆45Updated 2 years ago
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆29Updated 2 years ago
• cdcepi / FluSight-forecasts
  FluSight Forecast Submissions
  ☆18Updated 9 months ago