compare_models: Compare model engines from backtest scores

In lineagefreq: Lineage Frequency Dynamics from Genomic Surveillance Counts

Compare model engines from backtest scores

Description

Summarises and ranks engines across horizons based on forecast accuracy scores.

Usage

compare_models(scores, by = "engine")

Arguments

scores	Output of score_forecasts().
by	Grouping variable(s). Default "engine".

Value

A tibble with average scores per group, sorted by MAE.

Examples

sim <- simulate_dynamics(n_lineages = 3,
  advantages = c("A" = 1.2, "B" = 0.8),
  n_timepoints = 20, seed = 1)
bt <- backtest(sim, engines = "mlr",
  horizons = c(7, 14), min_train = 42)
sc <- score_forecasts(bt)
compare_models(sc)

lineagefreq documentation built on April 3, 2026, 9:09 a.m.