Slope.estimate.quant

Fits a linear model to trajectories returned from 'nowcasting_inla()' within a given window. The default is 3 weeks. If 'end.week' is missing uses the maximum date in 'trajectories'.

Usage

slope.estimate.quant(end.week, trajectories, window = 3)

Arguments

end.week

(in weeks) The end of the week wanted to the slope estimate. Default: max. date in 'trajectories'.

trajectories

Data.frame with the predicted or nowcasted estimate

window

(in weeks) Window of how much time will be used to calculate the slope estimate. The default is 3 weeks.

Value

The numerical value of the slope of the estimate

Examples

# Loading Belo Horizonte SARI dataset

data(sragBH)

now <- nowcasting_inla(dataset = sragBH,
                date_onset = DT_SIN_PRI,
                date_report = DT_DIGITA,
                trajectories = TRUE,
                silent = TRUE)
#> Joining with `by = join_by(date_onset)`
#> Joining with `by = join_by(date_onset, delay, Time)`

slope.estimate.quant(trajectories = now$trajectories)
#> Warning: Using max. date in 'trajectories' as 'end.week'
#> [1] -0.5