## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## ----eval=FALSE---------------------------------------------------------------
#  # Load required libraries
#  library(dplyr)
#  
#  # Generate example growth curve data
#  set.seed(123)
#  time <- 1:10
#  biomass <- c(0.1, 0.3, 0.7, 1.5, 3.0, 5.0, 8.0, 12.0, 18.0, 25.0)
#  gr_curve <- data.frame(time = time, biomass = biomass)
#  
#  # Calculate lag for the Logistic model
#  lag_result <- calc_lag_fit_to_logistic_with_lag(gr_curve, n0 = 0.1, init_gr_rate = 0.5, init_K = 30, init_lag = 0.5)
#  
#  # Print the calculated lag
#  lag_result$lag_N

## ----eval= FALSE--------------------------------------------------------------
#  # Load required libraries
#  library(dplyr)
#  
#  # Generate example growth curve data
#  set.seed(123)
#  time <- 1:10
#  biomass <- c(0.1, 0.3, 0.7, 1.5, 3.0, 5.0, 8.0, 12.0, 18.0, 25.0)
#  gr_curve <- data.frame(time = time, biomass = biomass)
#  
#  # Calculate lag for the Baranyi model
#  lag_result <- calc_lag_fit_to_baranyi_with_lag(gr_curve, LOG10N0 = NULL, init_lag = NULL, init_mumax = NULL, init_LOG10Nmax = NULL, algorithm = "auto")
#  
#  # Print the calculated lag
#  lag_result$lag_N