make_egg_to_smolt_survival: Simulate egg-to-smolt survival

In danStich/dia: R package for Atlantic salmon Dam Impact Analysis (DIA) model

Simulate egg-to-smolt survival

Description

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() 

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

danStich/dia documentation built on Jan. 25, 2025, 4:27 a.m.