Get table of characteristics of all the methods implemented in this package.

Usage

method_characteristics(include_weight = TRUE)

Arguments

include_weight: If TRUE (default), include the `weight` column (the estimand each method targets). If FALSE, drop it.

Value

Dataframe with columns for method, weight, population, biased, and disfavored (whether we do not like the estimator due to odd weighting or instability).

Examples

method_characteristics()
#> # A tibble: 52 × 5
#>    method    weight  biased blocked disfavored
#>    <chr>     <chr>    <dbl>   <dbl>      <dbl>
#>  1 AR-db     Cluster      0       0          0
#>  2 AR-het    Cluster      0       0          0
#>  3 ARpw-db   Person       0       0          0
#>  4 ARpw-het  Person       0       0          0
#>  5 LR-crve   Person       0       0          0
#>  6 LR-db     Person       0       0          0
#>  7 LRcw-crve Cluster      0       0          0
#>  8 LRcw-db   Cluster      0       0          0
#>  9 MLM       Cluster      1       0          0
#> 10 DB_HT     Cluster      0       1          1
#> # ℹ 42 more rows