Create a FeaturedSpace object — maxent_featured_space

Constructs a MaxEnt FeaturedSpace from background point count, occurrence sample indices, and a list of Feature objects.

Usage

maxent_featured_space_create(
  num_points,
  sample_indices,
  feature_ptrs,
  bias_weights = numeric(0)
)

num_points: Integer: number of background points.
sample_indices: Integer vector: 0-based indices of occurrence samples in the background array.
feature_ptrs: List of external pointers to Feature objects (from create_linear_feature() etc.).
bias_weights: Optional numeric vector of per-point bias weights (length num_points). When supplied, background density is computed as bias[i] * exp(lp[i] - lpn) instead of the standard exp(lp[i] - lpn). Pass an empty vector (default) for uniform (unbiased) background.

External pointer to a FeaturedSpace object.