Merge Cross-Validation Predictions and Generate Summary Maps
Source:R/mod_cv_merge_predictions.R
mod_cv_merge_predictions.RdMerges prediction results from cross-validated Hmsc models, processes clamped and not-clamped model outputs, and generates summary maps and anomaly visualizations for species invasion predictions. It saves processed prediction data and map images to disk.
Usage
mod_cv_merge_predictions(
model_prefix = NULL,
n_cv_folds = 4L,
hab_abb = NULL,
spatial_model = NULL,
n_cores = 8L,
clamp = c("clamp", "no_clamp")
)Arguments
- model_prefix
Character. Prefix for model output directories and files.
- n_cv_folds
Integer. Number of cross-validation folds. Default is 4L.
- hab_abb
Character. Habitat abbreviation to process.
- spatial_model
Logical. Whether to use a spatial model (TRUE) or non-spatial (FALSE).
- n_cores
Integer. Number of cores for parallel processing. Default is 8L.
- clamp
Character vector. Indicates which prediction types to process: "clamp", "no_clamp", or both.