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Simulate egg-to-smolt survival

make_egg_to_smolt_survival.Rd

Simulate egg-to-smolt survival from the built-in life_stage_survival dataset using a truncated normal distribution (Nieland and Sheehan 2020).

Usage

make_egg_to_smolt_survival(n = 1, a = 0, b = 0.023, mean = NULL, sd = NULL)

Arguments

n

Number of samples

a

Lower limit of truncated normal

b

Upper limit of truncated normal

mean

Mean of distribution. When `mean = NULL` (default), the mean value is parameterized from the built-in life_stage_survival dataset. Values are based on available studies cited in Nieland and Sheehan (2020).

sd

Standard deviation of distribution. When `mean = NULL` (default), the mean value is parameterized from the built-in life_stage_survival dataset (Nieland and Sheehan 2020).

Value

A vector of length `n` containing egg-to-smolt survival estimates

References

Nieland JL, Sheehan TF. 2020. Quantifying the Effects of Dams on Atlantic Salmon in the Penobscot River Watershed, with a Focus on Weldon Dam. US Department of Commerce, Northeast Fisheries Science Center Reference Document 19-16, Woods Hole, MA.

Examples

# 1. Simulate a single value of egg-to-smolt survival ----
make_egg_to_smolt_survival() 
#> [1] 0.01325209

# 2. Simulate 10,000 values of egg-to-smolt survival ----
samp <- make_egg_to_smolt_survival(n = 1e4)
hist(samp)