Mark-recapture estimator for closed population

Source: R/study_estimators.R

Mark-recapture estimator for closed population

get_study_est_recapture(
  data,
  capture_vars = NULL,
  capture_parse = NULL,
  sample_condition = NULL,
  model = "Mt",
  hidden_variable = "hidden",
  label = "recapture"
)

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)

model

character string giving capture-recapture Log-Linear model to estimate

hidden_variable

character string giving indicator of hidden population membership

label

character string describing the estimator

Value

Data frame of Mark-recapture estimates for a single study

References

Louis-Paul Rivest, Sophie Baillargeon. “The Rcapture package.” (2019). https://cran.r-project.org/package=Rcapture.