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`influ_families()` describes the first set of response distributions that can be represented by an [influ_diag] object. Model backends do not necessarily implement every family and component immediately; unsupported combinations fail before any calculations are attempted.

Usage

influ_families()

Value

A data frame containing canonical family names, aliases, and the default influence scale.

Examples

influ_families()
#>              family                       aliases default_scale
#> 1          gaussian                        normal    difference
#> 2          binomial                     bernoulli    difference
#> 3           poisson                       poisson         ratio
#> 4 negative_binomial negbinomial, nbinom1, nbinom2         ratio
#> 5         lognormal                     lognormal         ratio
#> 6             gamma                         Gamma         ratio
#> 7           tweedie                       Tweedie         ratio