Compare predictions across multiple models

Runs predictions using multiple models and compares results.

Usage

compare_models(
  data,
  models = NULL,
  summary_fun = mean,
  return_all = FALSE,
  progress = TRUE,
  ...
)

Arguments

data

Data frame with measurements

models

Character vector of model names to compare

summary_fun

Function to summarize across models (default is mean)

return_all

Logical whether to return all model results

progress

Logical whether to show progress

...

Additional arguments passed to predict_d2h_precip

Value

Data frame with ensemble predictions or list of all results

Examples

if (FALSE) { # \dontrun{
data(example_data)

# Compare multiple models
comparison <- compare_models(
  example_data,
  models = c("baseline", "baseline_env", "baseline_sp")
)

# Get all individual model results
all_results <- compare_models(
  example_data,
  models = c("baseline", "baseline_env"),
  return_all = TRUE
)
} # }