compare_models: Compare Fitted Kinetic Models

In rumenGP: Rumen Gas Production Modeling, Comparison, and Visualization

Compare Fitted Kinetic Models

Description

Compares performance metrics across multiple fitted kinetic models.

Usage

compare_models(...)

Arguments

...	Named fitted model objects.

Details

Model comparison metrics typically include:

• R-squared (R²)

• Root Mean Squared Error (RMSE)

• Residual Sum of Squares (RSS)

• Akaike Information Criterion (AIC)

• Bayesian Information Criterion (BIC)

This function helps researchers identify models that provide the best balance between goodness of fit and model complexity.

The resulting comparison table can be used with:

• rank_models()

• plot_model_performance()

• plot_model_rankings()

Value

A data frame summarizing model performance metrics for each fitted model.

See Also

rank_models, compare_models_by_treatment, plot_model_performance, plot_model_rankings

Examples

files <- example_data()

raw_data <- read_ankom(
  files$ankom
)

metadata <- read_metadata(
  files$metadata
)

gp <- process_ankom(
  raw_data,
  metadata,
  headspace_ml = 210,
  temperature_c = 39
)

groot_fit <- fit_groot(
  gp
)

gompertz_fit <- fit_gompertz(
  gp
)

comparison <- compare_models(
  Groot = groot_fit,
  Gompertz = gompertz_fit
)

comparison

rumenGP documentation built on Oct. 2, 2026, 5:09 p.m.