summary.groot_fit: Summary of Groot Fits

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

Summary of Groot Fits

Description

Summarizes parameter estimates and goodness-of-fit statistics for a fitted Groot model.

Usage

## S3 method for class 'groot_fit'
summary(object, ...)

Arguments

object	A groot_fit object.
...	Additional arguments passed to methods.

Details

The summary typically includes:

• Asymptotic gas production (VF)

• Half-time parameter (b)

• Shape parameter (k)

• Residual Sum of Squares (RSS)

• Root Mean Squared Error (RMSE)

• R-squared (R²)

• Akaike Information Criterion (AIC)

• Bayesian Information Criterion (BIC)

The Groot model is a flexible sigmoidal model commonly used in rumen gas production studies.

The parameter b represents the time required to reach approximately half of the asymptotic gas production, while k controls curve shape and steepness.

Notes

The Groot model is mathematically equivalent to the generalized Michaelis-Menten model implemented in fit_mm().

Parameter correspondence:

• VF = A

• b = K

• k = c

Value

A data frame containing parameter estimates and model diagnostics for each fitted bottle.

See Also

fit_groot, fit_mm, plot_fit, plot_residuals, compare_models

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
)

fit <- fit_groot(
  gp
)

summary(
  fit
)

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