compare_secondary_fits: Model comparison and selection for secondary growth models

In biogrowth: Modelling of Population Growth

Model comparison and selection for secondary growth models

Description

This function is a constructor for SecondaryComparison a class that provides several functions for model comparison and model selection for growth models fitted using fit_secondary_growth(). Please see the help pages for SecondaryComparison for further details.

Although it is not necessary, we recommend passing the models as a named list, as these names will later be kept in plots and tables.

Usage

compare_secondary_fits(models)

Arguments

models

a (we recommend named) list of models fitted using fit_secondary_growth().

Examples

## We first need to fit some models

data("example_cardinal")

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

known_pars <- list(mu_opt = 1.2, temperature_n = 1,
                   pH_n = 2, pH_xmax = 6.8, pH_xmin = 5.2)
                   
my_start <- list(temperature_xmin = 5, temperature_xopt = 35,
                 pH_xopt = 6.5)
                 
fit1 <- fit_secondary_growth(example_cardinal, my_start, known_pars, sec_model_names)

known_pars <- list(mu_opt = 1.2, temperature_n = 2,
                   pH_n = 2, pH_xmax = 6.8, pH_xmin = 5.2)
                   
 fit2 <- fit_secondary_growth(example_cardinal, my_start, known_pars, sec_model_names)
 
 ## We can now pass the models to the constructor

 comparison <- compare_secondary_fits(list(`n=1` = fit1, 
                                           `n=2` = fit2))
                                           
 ## The function includes several S3 methods for model selection and comparison
 
 print(comparison)
 
 plot(comparison)
 plot(comparison, type = 2)
 
 ## The numerical indexes can be accessed using coef and summary
 
 coef(comparison)
 summary(comparison)

biogrowth documentation built on Aug. 19, 2023, 1:06 a.m.