estimate poststratification weights based on Beesley & Mukhherjee

Usage

psw(
  int_data,
  ext_data = NULL,
  id_var = "id",
  age_var = "AgeLastEntry",
  age_bin = FALSE,
  age_bin_breaks = c(0, 18, 35, 65, 80, 150),
  covs = c("age_bin", "cad", "smoker", "diabetes", "female"),
  not_num_vars = NULL,
  psu_var = "psu_nhanes",
  strata_var = "strata_nhanes",
  weight_var = "weight_nhanes",
  chop = TRUE
)

Arguments

int_data: internal data to use for estimating weights
ext_data: external data to use for estimating weights
id_var: variable name for id
age_var: variable name for age
age_bin: logical, whether to bin age
age_bin_breaks: breaks for age binning
covs: covariates to use for estimating weights
not_num_vars: variables to exclude from numeric covariates
psu_var: variable name for psu
strata_var: variable name for strata
weight_var: variable name for weight
chop: logical, whether to truncate weights

Value

return data.table with id and poststratification weights