Calculates population-weighted regional estimates from icfit objects.

ic_regional(
  X,
  denom,
  stat = c("mean", "median", "sd", "quantile"),
  probs = c(0.025, 0.25, 0.5, 0.75, 0.975),
  filter_yovi = TRUE
)

# S3 method for icfit
ic_regional(
  X,
  denom,
  stat = c("mean", "median", "sd", "quantile"),
  probs = c(0.025, 0.25, 0.5, 0.75, 0.975),
  filter_yovi = TRUE
)

# S3 method for iclist
ic_regional(
  X,
  denom,
  stat = c("mean", "median", "sd", "quantile"),
  probs = c(0.025, 0.25, 0.5, 0.75, 0.975),
  filter_yovi = TRUE
)

Arguments

X

Object of icfit or iclist from model fitting

denom

Population denominator data. Default is downloaded from WHO.

stat

Character vector of summary statistics to apply.

probs

Numeric vector of probabilities with values in 0,1 to be used for stat "quantile".

filter_yovi

Logical. Should the estimates be filtered by year of vaccine introduction?

Value

data.frame object with regional summaries