calc_lag_fit_to_baranyi_with_lag {miLAG}

calc_lag_fit_to_baranyi_with_lag

Description

Runs nlsLM/nls algorithms with three different parameter setups to fit the best Logistic model parameters to our data and chooses the best model

Usage

calc_lag_fit_to_baranyi_with_lag(
  gr_curve,
  LOG10N0 = NULL,
  init_lag = NULL,
  init_mumax = NULL,
  init_LOG10Nmax = NULL,
  algorithm = "auto",
  max_iter = 100,
  lower_bound = c(0, 0, 0, 0)
)

Arguments

gr_curve

data from one specific growth curve with these two columns: time and biomass

LOG10N0

the decimal logarithm of initial biomass

init_lag

initial value for the lag parameter

init_mumax

initial value for the mumax parameter

init_LOG10Nmax

initial value for the LOG10Nmax parameter

algorithm

defaults to "auto" which chooses between bounded and unbounded Levenberg-Marquardt method and the bounded port method

max_iter

max. number of itertaions; defaults to 100

lower_bound

lower.bound for the bounded nls optimisation; defaults to 0

Value

lag and the nls fitting object with parameters fitted to logistic model