bootSurveyDesign: Generate replicate weights for complex survey designs.

In jr-leary7/SurveyQuantReg: Analyze NHANES Data with Quantile Regression

Description

This function creates a survey.design object using the survey package, then uses resampling to generate sample weights.

Usage

bootSurveyDesign(
  survey.dat = NULL,
  id.var = NULL,
  strata.var = NULL,
  weight.var = NULL,
  nested.clusters = TRUE,
  n.boot = 1000
)

Arguments

survey.dat	A data.frame containing survey data. Defaults to NULL.
id.var	A string containing the name of the variable that denotes clusters of primary sampling units. Defaults to NULL.
strata.var	A string containing the name of the variable that stratifies the PSUs. Defaults to NULL.
weight.var	A string containing the name of the variable containing sampling weights. Defaults to NULL.
nested.clusters	Are the clusters nested within strata? Defaults to TRUE.
n.boot	The number of replications to perform. Defaults to 1000.

Value

An object of class svyrep.design containing replicate weights.

Author(s)

Jack Leary

See Also

svydesign as.svrepdesign

Examples

## Not run: bootSurveyDesign(survey.dat = nhanes_data, id.var = "CLUST_ID", strata.var = "STRATUM", weight.var = "SAMPLE_WEIGHT")

jr-leary7/SurveyQuantReg documentation built on Dec. 21, 2021, 3:14 a.m.