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.