make_guess_secondary: Initial guesses for the parameters of a secondary model

In biogrowth: Modelling of Population Growth

Initial guesses for the parameters of a secondary model

Description

Uses some heuristic rules to generate an initial guess of the model parameters of secondary growth models that can be used for model fitting with fit_secondary_growth().

Usage

make_guess_secondary(fit_data, sec_model_names)

Arguments

fit_data	Tibble with the data used for the fit. It must have one column with the observed growth rate (named mu by default; can be changed using the "formula" argument) and as many columns as needed with the environmental factors.
sec_model_names	Named character vector defining the secondary model for each environmental factor.

Examples

## We can use the example dataset included in the package

data("example_cardinal")

## We assign model equations to factors as usual

sec_model_names <- c(temperature = "Zwietering", pH = "fullRatkowsky")

## We can then calculate the initial guesses

make_guess_secondary(example_cardinal, sec_model_names)

## We can pass these parameters directly to fit_secondary_growth

fit_secondary_growth(example_cardinal, 
                     make_guess_secondary(example_cardinal, sec_model_names), 
                     c(), 
                     sec_model_names)

biogrowth documentation built on May 29, 2024, 4:17 a.m.