GHRmodel (version 0.1.1)

subset_models: Subset GHRmodels Objects

Description

This function subsets selected models from a GHRmodels object into a new reduced GHRmodels object.

Usage

subset_models(models, mod_id, new_name = NULL)

Value

A new GHRmodels object containing only the specified model(s).

Arguments

models

A GHRmodels object.

mod_id

A character vector of model IDs indicating which model(s) to keep. These must match models$mod_gof$model_id.

new_name

NULL (default) or a character used to build the new model IDs.

See Also

stack_models for combining GHRmodels objects, fit_models for fitting INLA models.

Examples

# \donttest{
# Load example GHRmodels object from the package: 
model_list_file <- system.file("examples", "model_list.rds", package = "GHRmodel")
model_list <- readRDS(model_list_file)

# Extract a vector with the moded IDs of the 2 best fitting models by WAIC
best_waic <- rank_models(
  models = model_list,  # GHRmodels object containing model fit results
  metric = "waic",      # Metric used to rank models (lower WAIC is better)
  n = 2                 # Number of top-ranked models to return
)

# The output is a vector 
best_waic

# Subset those specific models and assign new IDs
model_waic <- subset_models(
  model = model_list,
  mod_id = best_waic,
  new_name = "best_waic"
)

# Check output subset model names
model_waic$mod_gof$model_id  
# }