I need a new R function to predict the incidence of a disease for the x next days from the incidence of the y last days (with x<y), including possible missing data. This function should rely on the xxx model adjusted for 5 covariates (the day of the week, number of screening tests, the xxx, the xxx and the xxx) and using the following parameters (xxxxxxxx)
[impact: allow to improve prediction of COVID-19's incidence]
[timeline: 1 week]
[originally proposed by @guilliea]
[suggested repo: Do not know]
[additional notes: ]
I need a new R function to predict the incidence of a disease for the x next days from the incidence of the y last days (with x<y), including possible missing data. This function should rely on the xxx model adjusted for 5 covariates (the day of the week, number of screening tests, the xxx, the xxx and the xxx) and using the following parameters (xxxxxxxx)
[impact: allow to improve prediction of COVID-19's incidence] [timeline: 1 week] [originally proposed by @guilliea] [suggested repo: Do not know] [additional notes: ]