View source: R/summary.expl_fit.R
| summary.expl_fit | R Documentation |
Summarizes parameter estimates and goodness-of-fit statistics for a fitted EXPL model.
## S3 method for class 'expl_fit'
summary(object, ...)
object |
An |
... |
Additional arguments passed to methods. |
The summary typically includes:
Asymptotic gas production (Vf)
Fractional rate constant (k)
Lag time (lambda)
Residual Sum of Squares (RSS)
Root Mean Squared Error (RMSE)
R-squared (R²)
Akaike Information Criterion (AIC)
Bayesian Information Criterion (BIC)
The EXPL model describes gas production as an exponential approach to an asymptotic gas volume following a lag phase.
The lag parameter represents the delay before substantial fermentation begins.
A data frame containing parameter estimates and model diagnostics for each fitted bottle.
fit_expl,
plot_fit,
plot_residuals,
compare_models
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_expl(
gp
)
summary(
fit
)
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