NSUM estimatior

get_study_est_nsum(
  data,
  known,
  hidden,
  survey_design = ~pps_cluster + strata(pps_strata),
  degree_ratio = 1,
  transmission_rate = 1,
  n_boot = 1000,
  parallel_boot = FALSE,
  prefix = "pps",
  label = "nsum"
)

Arguments

data: pass-through population data frame
known: character vector containing names of known groups
hidden: character vector containing names of hidden groups
survey_design: a formula describing the design of the survey
degree_ratio: numeric value between 0 and 1 representing degree ratio
transmission_rate: numeric value between 0 and 1 representing information transmission rate
n_boot: number of bootstrap resamples
parallel_boot: logical, whether to compute bootstrap samples in parallel using foreach package
prefix: character prefix used for PPS sample variables
label: character string describing the estimator

Value

Data frame of NSUM estimates for a single study with PPS sample

References

Dennis M. Feehan, Matthew J. Salganik. “The networkreporting package.” (2014). https://cran.r-project.org/package=networkreporting. Dennis M. Feehan, Matthew J. Salganik. “The surveybootstrap package.” (2016). https://cran.r-project.org/package=surveybootstrap. Salganik, Matthew J. "Variance estimation, design effects, and sample size calculations for respondent-driven sampling." Journal of Urban Health 83, no. 1 (2006): 98. https://doi.org/10.1007/s11524-006-9106-x