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Returns a single-row tibble of model-level summary statistics.

Usage

glance.lfq_fit(x, ...)

Arguments

x

An lfq_fit object.

...

Ignored.

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>