Computes cumulative predictions at all background + presence locations and
derives nine standard threshold statistics, writing the result to
<output_dir>/<species>_omission.csv. The output format mirrors
density/Runner.java::writeCumulativeIndex().
Usage
maxent_write_omission_csv(
model,
env_grids,
feature_names,
presence_rows,
presence_cols,
output_dir,
species,
test_rows = NULL,
test_cols = NULL
)Arguments
- model
External pointer to a trained FeaturedSpace object.
- env_grids
List of external pointers to Grid<float> objects.
- feature_names
Character vector of environment variable names.
- presence_rows
Integer vector of presence row indices (0-based).
- presence_cols
Integer vector of presence column indices (0-based).
- output_dir
Character: directory for output files.
- species
Character: species name (used in the filename).
- test_rows
Integer vector of test row indices (0-based) or
NULL(default).- test_cols
Integer vector of test column indices (0-based) or
NULL(default).