Multiple Systems estimator of population size for Sparse Capture Data by Chan et al.

Source: R/study_estimators.R

Multiple Systems estimator of population size for Sparse Capture Data by Chan et al.

get_study_est_mse(
  data,
  capture_vars = NULL,
  capture_parse = NULL,
  sample_condition = NULL,
  method = "stepwise",
  hidden_variable = "hidden",
  label = "mse"
)

Arguments

data

pass-through population data frame that contains capture indicators

capture_vars

character vector giving names of variables with capture indicators

capture_parse

character string giving expression to evaluation of which produces character vector giving names of variable with capture indicators. Defaults to NULL. This is useful when capture variables are stored in one column (e.g. if using TLS sampled locations for recapture indicators)

sample_condition

character string with condition if the capture-recapture conducted on subsample of population (e.g. tls sample only)

method

character string giving the estimation method to be passed to estimatepopulation.0. See ?SparseMSE::estimatepopulation.0 for more details. Defaults to "stepwise"

hidden_variable

character string giving indicator of hidden population membership

label

character string describing the estimator

Value

Data frame of Multiple System estimates for a single study

References

Chan, Lax, Bernard W. Silverman, and Kyle Vincent. "Multiple systems estimation for sparse capture data: Inferential challenges when there are nonoverlapping lists." Journal of the American Statistical Association 116.535 (2021): 1297-1306. Chan, Lax, Bernard W. Silverman, and Kyle Vincent. “The SparseMSE package.” (2022). https://cran.r-project.org/web/packages/SparseMSE.