Returns a one-row-per-lineage summary with growth rates, fitted frequencies at first and last time points, and growth advantage in multiple scales.
Examples
sim <- simulate_dynamics(n_lineages = 3,
advantages = c("A" = 1.2, "B" = 0.8), seed = 1)
fit <- fit_model(sim)
lfq_summary(fit, generation_time = 5)
#> # A tibble: 3 × 8
#> lineage growth_rate gr_lower gr_upper is_pivot relative_Rt Rt_lower Rt_upper
#> <chr> <dbl> <dbl> <dbl> <lgl> <dbl> <dbl> <dbl>
#> 1 A 0.179 0.168 0.191 FALSE 1.14 1.13 1.15
#> 2 B -0.234 -0.264 -0.204 FALSE 0.846 0.828 0.865
#> 3 ref 0 0 0 TRUE 1 1 1