Determine Optimum Stocking Times Used in Fishery Enhancements


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Documentation for package ‘optistock’ version 0.0.1

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chinook_example Species examples from optistocking manuscript
constant_mort Functions to produce mortality curves
cost_fun Compute the instantaneous cost of raising hatchery fish
cost_parameters Cost parameters for species used in examples
cost_per_fish Compute the per-cost fish based on stocking time, time to recruitment, growth, and mortality
decreasing_mort Functions to produce mortality curves
exp_mort Functions to produce mortality curves
gaussian_mort Functions to produce mortality curves
growth_parameters Growth parameters for species used in examples
half_gaussian_mort Functions to produce mortality curves
inv_mort Functions to produce mortality curves
inv_vb The inverse von Bertalanffy function (iVBGF)
linear_mort Functions to produce mortality curves
linear_total_cost Compute total cost as a linear function of time
mort_funs Functions to produce mortality curves
musky_example Species examples from optistocking manuscript
n_to_stock Calculate the number of fish to stock based on desired recruit number and given mortality curve
optistock_app Run Shiny app to create sandbox optistock CPF curves
parabolic_mort Functions to produce mortality curves
rainbow_trout_example Species examples from optistocking manuscript
recruits_at_time Calculate the number of recruits left after given time based on mortality
spp_examples Species examples from optistocking manuscript
total_cost Compute the total cost of raising a certain number of fish until a give time
vbgf Basic von Bertalanffy growth function (VBGF)
walleye_example Species examples from optistocking manuscript