Raking of replicate weight design with "partial = TRUE"

Source: R/hello.R

This is survey::rake() but with "partial = TRUE" inserted into postStratify()

rakePartial(
  design,
  sample.margins,
  population.margins,
  control = list(maxit = 10, epsilon = 1, verbose = FALSE),
  compress = NULL
)

Arguments

design

A survey object
sample.margins

list of formulas or data frames describing sample margins, which must not contain missing values
population.margins

list of tables or data frames describing corresponding population margins
control

maxit controls the number of iterations. Convergence is declared if the maximum change in a table entry is less than epsilon. If epsilon<1 it is taken to be a fraction of the total sampling weight.
compress

If design has replicate weights, attempt to compress the new replicate weight matrix? When NULL, will attempt to compress if the original weight matrix was compressed

Value

design

Examples

NA

#> [1] NA