Returns a single-row tibble of model-level summary statistics.
Value
A single-row tibble with columns: engine, n_lineages,
n_timepoints, nobs, df, logLik, AIC, BIC, pivot,
convergence.
Examples
sim <- simulate_dynamics(n_lineages = 3,
advantages = c("A" = 1.2, "B" = 0.8), seed = 1)
fit <- fit_model(sim)
glance.lfq_fit(fit)
#> # A tibble: 1 × 10
#> engine n_lineages n_timepoints nobs df logLik AIC BIC pivot
#> <chr> <int> <int> <int> <int> <dbl> <dbl> <dbl> <chr>
#> 1 mlr 3 20 10000 4 -5645. 11297. 11301. ref
#> # ℹ 1 more variable: convergence <int>