estimate_R0: Estimate R0
In marzione00/COVID_19_HACK: Covid_19 outbreak analysis

Description Usage Arguments Details Value

Estimate R0 of a time series I using an exponential approximation of I (I_approx) in early stages of diffusion. The method used is a least square fitting of I_approx over I.

1	estimate_R0(sigma, gamma, I, time_start, time_end)

`sigma`	float
`gamma`	float
`I`	array-like
`time_start`	int time serie of which to calculate R0
`time_end`	int

R0 will be estimated using I[J], where J is: (time_start:time_end) if user provides both (1:time_end) if user provides time_end but not time_start (time_start:length(I)) if user provides time_start but not time_end (start:end) if user provides neither. start and end are extrapolated with exp_period and aim to identify the extremes of the stage of exponential growth in I

a list containing: R0, start, end. start and end are the extremes of J (see details). Ignore if any is passed by user.

marzione00/COVID_19_HACK documentation built on Nov. 20, 2020, 1:10 p.m.