Description Usage Arguments Value Examples
View source: R/excess_cumulative.R
This function takes the output of the 'excess_model' function, a start date, and end date and calculates excess mortality and standard errors.
1 | excess_cumulative(fit, start, end)
|
fit |
The output of 'excess_model' |
start |
The start date |
end |
The end date |
A data frame with the following columns
The date
The observed excess mortality,which is the sum of observed minus expected until that date
The standard deviation for excess mortality for that date if year is typical
The estimated of excess mortality based on the estimated smooth event effect curve
The standard error for 'fitted'
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | data(new_jersey_counts)
exclude_dates <- as.Date("2012-10-29") + 0:180
control_dates <- seq(min(new_jersey_counts$date), min(exclude_dates) - 1, by = "day")
f <- excess_model(new_jersey_counts,
start = as.Date("2012-09-01"),
end = as.Date("2013-09-01"),
exclude = exclude_dates,
model = "correlated",
weekday.effect = TRUE,
control.dates = control_dates)
excess_cumulative(f,
start = as.Date("2017-12-15"),
end = as.Date("2017-12-21") )
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