predict_stochastic_growth() was renamed predict_growth_uncertainty() because
the original function name may be misleading, as this is not a stochastic
differential equation
predict_stochastic_growth(
model_name,
times,
n_sims,
pars,
corr_matrix = diag(nrow(pars)),
check = TRUE
)Character describing the primary growth model.
Numeric vector of storage times for the simulations.
Number of simulations.
A tibble describing the parameter uncertainty (see details).
Correlation matrix of the model parameters. Defined in the
same order as in pars. An identity matrix by default
(uncorrelated parameters).
Whether to do some tests. FALSE by default.