fb4package (version 2.0.0)

analyze_growth_patterns: Analyze growth patterns from FB4 results

Description

Extracts and analyzes growth patterns from FB4 simulation results. Calculates growth rates, efficiency metrics, and provides uncertainty estimates when available.

Usage

analyze_growth_patterns(result, individual_id = NULL, confidence_level = 0.95)

Value

A named list with at minimum method (character),

has_uncertainty (logical), individual_id, and

initial_weight (numeric, g). The following growth metrics are included as sub-lists each with estimate, se, ci_lower, and ci_upper: final_weight (g), total_growth (g), and relative_growth (%). When simulation duration is available,

daily_growth_rate (g/day) and specific_growth_rate

(%/day) are appended. For fitted methods a p_value sub-list (estimate, se) is also included; for hierarchical population-level calls, n_individuals (integer) is added.

Arguments

result

FB4 result object

individual_id

Individual ID for hierarchical models (NULL for population/single individual)

confidence_level

Confidence level for intervals (default 0.95)

Examples

# \donttest{
data(fish4_parameters)
sp   <- fish4_parameters[["Oncorhynchus tshawytscha"]]$life_stages$adult
info <- fish4_parameters[["Oncorhynchus tshawytscha"]]$species_info
bio  <- Bioenergetic(
  species_params     = sp,
  species_info       = info,
  environmental_data = list(
    temperature = data.frame(Day = 1:30, Temperature = rep(12, 30))
  ),
  diet_data = list(
    proportions = data.frame(Day = 1:30, Prey1 = 1.0),
    energies    = data.frame(Day = 1:30, Prey1 = 5000),
    prey_names  = "Prey1"
  ),
  simulation_settings = list(initial_weight = 100, duration = 30)
)
bio$species_params$predator$ED_ini <- 5000
bio$species_params$predator$ED_end <- 5500
result <- run_fb4(bio, strategy = "direct", p_value = 0.5, verbose = FALSE)
growth <- analyze_growth_patterns(result)
# }