Fit the full ensemble of growth-curve models to one data window

Fits Logistic, Gompertz and Richards curves (fit_growth_model()) to a single window of cumulative counts, computes MSE- and AIC-based weights, and returns the ensemble (weighted-average) curve together with the individual fits.

Usage

fit_ensemble(t, y, criterion = c("mse", "aic"), beta_fixed = 1.5)

Arguments

t, y

As in fit_growth_model().

criterion

"mse" (default, matching the main text) or "aic" (matching the manuscript's comparative analysis).

beta_fixed

Shape parameter passed to the Richards fit (see fit_growth_model()).

Value

An object of class ensemble_fit: a list with models (named list of three growth_fit objects), weights, criterion, fitted (ensemble fitted values at t), mse (ensemble MSE) and t, y.