get_multi_dyna_residuals: Residuals of multiple dynamic predictions

In biogrowth: Modelling of Population Growth

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 Aug. 19, 2023, 1:06 a.m.