Estimate parameters from a specified model using bootstrap resampling and estimated maximum likelihood

Estimate parameters from a specified model using bootstrap resampling and estimated maximum likelihood

Usage

ps_bootstrap(
  n.boots = 200,
  progress.bar = TRUE,
  start = NULL,
  method = "BFGS",
  control = list(),
  ...
)

Arguments

n.boots

Number of bootstrap replicates

progress.bar

Logical, if true will display a progress bar in the console

start

Vector of starting values, if NULL, will come up with starting values

method

Method to use for optimization, can be "pseudo-score" for categorical S with nonparametric integration, or any of the methods available in optim. Defaults to "BFGS"

control

List of control parameters for passed to optim

...

Arguments passed to optim