AICc
Compute the Akaike Information Criterion corrected for small samples size (Warren and Seifert, 2011).
aicc(model, env)
The function is available only for Maxent and Maxnet methods.
The computed AICc
Sergio Vignali
Warren D.L., Seifert S.N., (2011). Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. Ecological Applications, 21(2), 335–342.
# Acquire environmental variables
files <- list.files(path = file.path(system.file(package = "dismo"), "ex"),
pattern = "grd", full.names = TRUE)
predictors <- raster::stack(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")
# Train a model
model <- train(method = "Maxnet", data = data, fc = "l")
# Compute the AICc
aicc(model, predictors)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.