data.frame summarizing a Covidestim model run. Note that if
runOptimizer.covidestim is used, all
variables will be
NA-valued, because BFGS does not generate
# S3 method for covidestim_result summary(ccr, include.before = TRUE, index = FALSE)
A logical scalar. Include estimations that fall in the
period before the first day of input data? (This period is of length
A logical scalar. If
data.frame with the following variables:
cases.fitted.hi: Median and 95% interval around fitted case
cum.incidence.hi: Median and 95% interval around cumulative
deaths.fitted.hi: Median and 95% interval around fitted deaths
deaths.hi: Median and 95%
interval around estimated deaths/day, by date of death.
Median and 95% interval around estimated infections/day, by date of
severe.hi: Median and 95%
interval around the number of individuals who transitioned into the
"severe" health state on a particular day. The "severe" state is
defined as disease that would merit hospitalization.
Median and 95% interval around the estimate of the quantity of
individuals who became symtomatic on a particular day.
TRUE/FALSE for whether input data
was available on that particular day.
Rt.hi: Estimate of the effective
reproductive number (Rt), with 95% CIs.
sero.positive.hi: Estimate of the number of seropositive
individuals, with 95% CIs.
pop.infectiousness.hi: Estimate of the relative level of viral
shedding in the community, with 95% CIs.