sjstats (version 0.19.0)

svyglm.zip: Survey-weighted zero-inflated Poisson model

Description

svyglm.zip() is an extension to the survey-package to fit survey-weighted zero-inflated Poisson models. It uses svymle to fit sampling-weighted maximum likelihood estimates, based on starting values provided by zeroinfl.

Usage

svyglm.zip(formula, design, ...)

Value

An object of class svymle and svyglm.zip, with some additional information about the model.

Arguments

formula

An object of class formula, i.e. a symbolic description of the model to be fitted. See 'Details' in zeroinfl.

design

An object of class svydesign, providing a specification of the survey design.

...

Other arguments passed down to zeroinfl.

Details

Code modified from https://notstatschat.rbind.io/2015/05/26/zero-inflated-poisson-from-complex-samples/.

Examples

if (require("survey")) {
  data(nhanes_sample)
  set.seed(123)
  nhanes_sample$malepartners <- rpois(nrow(nhanes_sample), 2)
  nhanes_sample$malepartners[sample(1:2992, 400)] <- 0

  # create survey design
  des <- svydesign(
    id = ~SDMVPSU,
    strat = ~SDMVSTRA,
    weights = ~WTINT2YR,
    nest = TRUE,
    data = nhanes_sample
  )

  # fit negative binomial regression
  fit <- svyglm.zip(
    malepartners ~ age + factor(RIDRETH1) | age + factor(RIDRETH1),
    des
  )

  # print coefficients and standard errors
  fit
}