View source: R/milags_functions.R
| calc_baranyi_fit_lag | R Documentation | 
Calculates lag based on fitting baranyi model to data
calc_baranyi_fit_lag(
  data,
  n0,
  init_lag = NULL,
  init_gr_rate = NULL,
  algorithm = "auto",
  max_iter = 100
)
data | 
 a data frame with two required columns names: "time" and "biomass",and one optional column: "curve_id" This is data from may come from multiple growth curves  | 
n0 | 
 a data frame describing initial biomass for each of the curves, i.e. it has two obligatory columns: "curve_id", "N0"  | 
init_lag | 
 initial value for the lag parameter, defaults to NULL in which case it will be approximated based on the data  | 
init_gr_rate | 
 initial value for the growth rate, defaults to NULL in which case it will be approximated based on the data  | 
algorithm | 
 eg. "auto", "Levenberg-Marquardt", "port", defaults to "auto"  | 
max_iter | 
 Maximum number of iterations, defaults to 100  | 
growth curve data with additional columns ('lag', and predicted biomass 'predicted')
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