Returns information about all modeling engines available in lineagefreq. Core engines (mlr, hier_mlr, piantham) are always available. Bayesian engines (fga, garw) require 'CmdStan'.
Examples
lfq_engines()
#> # A tibble: 5 × 5
#> engine type time_varying available description
#> <chr> <chr> <lgl> <lgl> <chr>
#> 1 mlr frequentist FALSE TRUE Multinomial logistic regression (…
#> 2 hier_mlr frequentist FALSE TRUE Hierarchical MLR with empirical B…
#> 3 piantham frequentist FALSE TRUE Piantham Rt approximation from ML…
#> 4 fga bayesian FALSE FALSE Fixed growth advantage (Stan)
#> 5 garw bayesian TRUE FALSE Growth advantage random walk (Sta…