bootystrapper: Bootstrap using surv_calc and organize output
In boppingshoe/bootylator: Bootstrap Program for CSS Estimates

Description Usage Arguments Value Examples

Bootstrap using surv_calc and organize output

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bootystrapper(d, fn, iter, wgt = "n", wgt_init = "n",
  phi_p_only = "n", fpc = "y", logit_link = "n",
  save_name = "none", ...)

`d`	Input file made by `format_dat()`.
`fn`	Function to run the bootstrap on.
`iter`	Amount of bootstrap iterations.
`wgt`	Indicates whether to weight the sampling probability. Default is no ("n").
`wgt_init`	Indicates whether to calculate the original estimates using weighted probability. Default is no ("n").
`phi_p_only`	Indicate to turn off the phi_p_only option in `curv_calc()`. Default is no ("n").
`fpc`	Indicate to turn off the finite population correction option in `curv_calc()`. Default is yes ("y").
`logit_link`	Indicate to use "RMark" or "marked" and estimate using logit link. The default here is none ("n").
`save_name`	Name to save bootstrap output in CSSOUTPUT in SQL server. No results will be saved if nothing is specified.

Estimates in a data frame with original estimate as the first row and bootstrap results in the remaining rows.

# To conduct standard CSS bootstrap procedures
out1<- bootystrapper(detect_data, surv_calc, iter= 1000, fpc= 'n', save_name='SR HCH 2008 CATH')
# To conduct weighted bootstrap and produce only survival and detection estimates
out2<- bootystrapper(detect_data, surv_calc, iter= 100, wgt= 'y', wgt_init= 'y', phi_p_only= 'y')
head(out2)