Open Issues Need Help
View All on GitHub Using non-approximate GPs in forecasting about 1 month ago
enhancement help wanted
epiforecasts/EpiNow2 epiforecasts/EpiNow2 Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
Open project →
140
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
R
#backcalculation#covid-19#gaussian-processes#open-source#reproduction-number#rstats#stan
fold secondary options into observation model 6 months ago
help wanted
epiforecasts/EpiNow2 epiforecasts/EpiNow2 Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
Open project →
140
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
R
#backcalculation#covid-19#gaussian-processes#open-source#reproduction-number#rstats#stan
Bundle repeated checks 6 months ago
good first issue help wanted
epiforecasts/EpiNow2 epiforecasts/EpiNow2 Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
Open project →
140
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
R
#backcalculation#covid-19#gaussian-processes#open-source#reproduction-number#rstats#stan
enhancement good first issue
epiforecasts/EpiNow2 epiforecasts/EpiNow2 Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
Open project →
140
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
R
#backcalculation#covid-19#gaussian-processes#open-source#reproduction-number#rstats#stan