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