This function allows the user to obtain draws from the (parametric) bootstrap distribution of the fitted model's parameters.
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model 

B 
Requested number of bootstrap samples. 
seed 
A seed may be specified (see 
start 
Starting values for the optimization algorithm (if 
method 
The optimization method to be used (see 
Parametric bootstrap – see References.
model 

B 
Requested number of bootstrap samples. 
seed 
The specified seed (see 
par.star 
Array containing realized values from the bootstrap distribution of the maximum likelihood parameter estimators. 
gof 
The bootstrap distributions of two goodnessoffit statistics: AndersonDarling statistic and Pearson's correlation coefficient for the pair ("observed quantiles","fitted quantiles"). 
p.value 
Bootstrap pvalues for the two goodnessoffit statistics. 
failure.rate 
The proportion of bootstrap samples for which optimization failed using the specified starting values. 
total.time 
The total amount of time required to generate 
Davison, A.C., and Hinkley, D.V. (1997). Bootstrap methods and their application. Cambridge University Press.
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