get_multi_dyna_residuals: Residuals of multiple dynamic predictions

View source: R/fit_multi_dynamic.R

get_multi_dyna_residualsR Documentation

Residuals of multiple dynamic predictions

Description

Function for calculating residuals of dynamic predictions under different conditions for the same model parameters according to the requirements of modFit().

Usage

get_multi_dyna_residuals(
  this_p,
  experiment_data,
  known_pars,
  sec_model_names,
  logbase_mu = logbase_logN,
  logbase_logN = 10
)

Arguments

this_p

named vector of model parameters

experiment_data

a nested list with the experimental data. Each entry describes one experiment as a list with two elements: data and conditions. data is a tibble with two columns: time and logN. conditions is a tibble with one column named time and as many additional columns as environmental factors.

known_pars

named vector of known model parameters

sec_model_names

named character vector with names of the environmental conditions and values of the secondary model (see secondary_model_data).

logbase_mu

Base of the logarithm the growth rate is referred to. By default, the same as logbase_logN. See vignette about units for details.

logbase_logN

Base of the logarithm for the population size. By default, 10 (i.e. log10). See vignette about units for details.

Value

an instance of modCost.


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