Create a sspm_model object.

sspm(biomass, predictors)

# S4 method for class 'sspm_dataset,missing'
sspm(biomass, predictors)

# S4 method for class 'sspm_dataset,sspm_dataset'
sspm(biomass, predictors)

# S4 method for class 'sspm_dataset,list'
sspm(biomass, predictors)

Arguments

biomass

[sspm_dataset (smoothed)] The dataset containing the biomass variable.

predictors

[list OF sspm_dataset (smoothed)] The list of predictor datasets.

Value

An object of class sspm.

Examples

if (FALSE) { # \dontrun{
sspm_model <- sspm(biomass = biomass_smooth_w_catch,
                   predictors = predator_smooth)
} # }