predict_stochastic_growth {biogrowth} | R Documentation |
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
)
model_name |
Character describing the primary growth model. |
times |
Numeric vector of storage times for the simulations. |
n_sims |
Number of simulations. |
pars |
A tibble describing the parameter uncertainty (see details). |
corr_matrix |
Correlation matrix of the model parameters. Defined in the
same order as in |
check |
Whether to do some tests. |