Dispatch helper – calibrate to totals via "raking" or "greg".

Usage

morie_weights_calibrate_to_totals(
  weights,
  df,
  totals,
  method = c("raking", "greg"),
  ...
)

Arguments

weights: Numeric vector of unit-level design weights.
df: A data.frame of unit-level covariates aligned with weights.
totals: Named numeric vector of calibration targets used by calibrate_to_totals.
method: Character; calibration / smoothing / variance method. Allowed values depend on the caller.
...: Additional method-specific arguments.

Value

A named list with elements weights, converged, iterations, max_adjustment, diagnostics.

Examples

set.seed(1)
df <- data.frame(g = rep(c("m", "f"), 15))
res <- morie_weights_calibrate_to_totals(rep(1, 30), df,
                                         list(g = c(m = 50, f = 50)))
str(res, max.level = 1)
#> List of 5
#>  $ weights       : num [1:30] 1.67 1.67 1.67 1.67 1.67 ...
#>  $ converged     : logi TRUE
#>  $ iterations    : int 2
#>  $ max_adjustment: num 0
#>  $ diagnostics   :List of 14