fit_model: Fit B&M model 2 to new data using 'stats::nls()'

In hatchR: Predict Fish Hatch and Emergence Timing

Fit B&M model 2 to new data using stats::nls()

Description

Generate your own custom parameterized models for predicting hatching and emergence phenology.

Usage

fit_model(temp, days, species = NULL, development_type = NULL)

Arguments

temp	Numeric vector of temperatures
days	Numeric vector of days to hatch or emerge
species	Character string of species name (e.g., "sockeye")
development_type	Character string of development type: "hatch" or "emerge"

Details

hatchR also includes functionality to generate your own custom parameterized models for predicting hatching and emergence phenology. Importantly, the custom parameterization relies on the model format developed from model 2 of Beacham and Murray (1990), which we chose because of its overall simplicity and negligible loss of accuracy. See Beacham and Murray (1990) and Sparks et al. (2019) for more specific discussion regarding model 2 and the development of the effective value approach.

Value

List with fit model object, model coefficients, model specifications data.frame, and plot of observations and model fit.

Examples

library(hatchR)
# vector of temperatures
temperature <- c(2, 5, 8, 11, 14)
# vector of days to hatch
days_to_hatch <- c(194, 87, 54, 35, 28)
bt_hatch_mod <- fit_model(
  temp = temperature,
  days = days_to_hatch, species = "sockeye", development_type = "hatch"
)

hatchR documentation built on April 3, 2025, 7:54 p.m.