## Usage

`Effect.sdmTMB(focal.predictors, mod, ...)`

## Arguments

- focal.predictors
a character vector of one or more predictors in the model in any order.

- mod
a regression model object. If no specific method exists for the class of `mod`

, `Effect.default`

will be called.

- ...
arguments to be passed down.

## Examples

```
fit <- sdmTMB(present ~ depth_scaled, data = pcod_2011, family = binomial(),
spatial = "off")
effects::effect("depth_scaled", fit)
#>
#> depth_scaled effect
#> depth_scaled
#> -3 -2 -0.1 1 3
#> 0.7511661 0.6634557 0.4673280 0.3544365 0.1897228
plot(effects::effect("depth_scaled", fit))
```