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Bayesian Information Criterion

Source: R/lifelihood.R
BIC.lifelihoodResults.Rd

S3 method to compute BIC (Bayesian Information Criterion).

Usage

# S3 method for class 'lifelihoodResults'
BIC(object, ...)

Arguments

object

output of lifelihood()

...

Ignored

Value

The BIC

See also

AIC(), AICc()

Examples

library(lifelihood)
library(tidyverse)

df <- lifelihood::fakesample |>
  mutate(
    type = as.factor(type),
    geno = as.factor(geno)
  )

clutchs <- c(
  "clutch_start1", "clutch_end1", "clutch_size1",
  "clutch_start2", "clutch_end2", "clutch_size2"
)

dataLFH <- lifelihoodData(
  df = df,
  sex = "sex",
  sex_start = "sex_start",
  sex_end = "sex_end",
  maturity_start = "mat_start",
  maturity_end = "mat_end",
  clutchs = clutchs,
  death_start = "death_start",
  death_end = "death_end",
  covariates = c("geno", "type"),
  model_specs = c("gam", "lgn", "wei")
)

results <- lifelihood(
  lifelihoodData = dataLFH,
  path_config = get_config_path("config"),
  seeds = c(1, 2, 3, 4),
  raise_estimation_warning = FALSE
)
BIC(results)
#> [1] 1788.928