Bootstrap downhill — downhill_bootstrapcal • MultipleSystemsEstimation

Generates multinomial bootstrap samples and applies downhill_fit() to each one.

Usage

downhill_bootstrapcal(
  xdata,
  nboot = 1000,
  iseed = 1234,
  checkid = TRUE,
  verbose = FALSE,
  maxorder = dim(xdata)[2] - 2
)

Arguments

xdata: Capture history data in the standard package format.
nboot: Number of bootstrap replications.
iseed: Integer random-number seed.
checkid: Passed to downhill_fit().
verbose: Passed to downhill_fit().
maxorder: Maximum interaction order considered.

Value

If verbose = FALSE, a numeric vector of bootstrap population estimates. If verbose = TRUE, the detailed results returned by downhill_fit() for each replication.

References

Silverman, B. W., Chan, L. and Vincent, K., (2024). Bootstrapping Multiple Systems Estimates to Account for Model Selection Statistics and Computing, 34, 44. doi:10.1007/s11222-023-10346-9 .