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Returns the name of all function arguments that can be tuned for a given model.

Usage

getTunableArgs(model)

Arguments

model

SDMmodel or SDMmodelCV object.

Value

character vector.

Author

Sergio Vignali

Examples

# Acquire environmental variables
files <- list.files(path = file.path(system.file(package = "dismo"), "ex"),
                    pattern = "grd",
                    full.names = TRUE)

predictors <- terra::rast(files)

# Prepare presence and background locations
p_coords <- virtualSp$presence
bg_coords <- virtualSp$background

# Create SWD object
data <- prepareSWD(species = "Virtual species",
                   p = p_coords,
                   a = bg_coords,
                   env = predictors,
                   categorical = "biome")
#>  Extracting predictor information for presence locations
#>  Extracting predictor information for presence locations [39ms]
#> 
#>  Extracting predictor information for absence/background locations
#>  Extracting predictor information for absence/background locations [69ms]
#> 

# Train a Maxnet model and get tunable hyperparameters
model <- train(method = "Maxnet",
               data = data,
               fc = "l")

getTunableArgs(model)
#> [1] "fc"  "reg"