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Returns information about all modeling engines available in lineagefreq. Core engines (mlr, hier_mlr, piantham) are always available. Bayesian engines (fga, garw) require 'CmdStan'.

Usage

lfq_engines()

Value

A tibble with columns: engine, type, time_varying, available, description.

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…