[R] incidence_fit model for simulation

[Sarah Goslee]

According to this handy vignette, the object contains the predicted
values in $pred

https://cran.r-project.org/web/packages/incidence/vignettes/overview.html

early.fit <- fit(i.7[1:20])
early.fit
#> <incidence_fit object>
#>
#> $model: regression of log-incidence over time
#>
#> $info: list containing the following items:
#>   $r (daily growth rate):
#> [1] 0.03175771
#>
#>   $r.conf (confidence interval):
#>           2.5 %     97.5 %
#> [1,] 0.02596229 0.03755314
#>
#>   $doubling (doubling time in days):
#> [1] 21.8261
#>
#>   $doubling.conf (confidence interval):
#>         2.5 %   97.5 %
#> [1,] 18.45777 26.69823
#>
#>   $pred: data.frame of incidence predictions (20 rows, 5 columns)

Sarah

On Fri, Apr 24, 2020 at 11:52 AM <maicel using infomed.sld.cu> wrote:
>
> Hello
>
> How can I make a prediction with object type incidence_fit.
> incidence_fit object is returned by the function fit in library(incidence).
>
> Best regard
> maicel
>
>
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-- 
Sarah Goslee (she/her)
http://www.numberwright.com