Determine Optimum Stocking Times Used in Fishery Enhancements

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Documentation for package ‘optistock’ version 0.0.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

chinook_example	Species examples from optistocking manuscript
constant_mort	Functions to produce mortality curves
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
daily_cost_fun	Compute the instantaneous cost of raising hatchery fish
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 direct total cost to raise hatchery fish
total_daily_cost	Compute the total daily cost of raising hatchery fish
vbgf	Basic von Bertalanffy growth function (VBGF)
walleye_example	Species examples from optistocking manuscript