predict_isothermal_growth {biogrowth} | R Documentation |
The function predict_isothermal_growth()
has been superseded by the top-level
function predict_growth()
, which provides a unified approach for growth modelling.
Regardless of that, it can still be used to predict population growth under static environmental conditions (i.e. using primary models).
predict_isothermal_growth(
model_name,
times,
model_pars,
check = TRUE,
logbase_mu = 10,
logbase_logN = 10
)
model_name |
Character defining the growth model. |
times |
Numeric vector of storage times for the predictions. |
model_pars |
Named vector or list defining the values of the model parameters. |
check |
Whether to do basic checks (TRUE by default). |
logbase_mu |
Base of the logarithm the growth rate is referred to. By default, the same as logbase_logN. See vignette about units for details. |
logbase_logN |
Base of the logarithm for the population size. By default, 10 (i.e. log10). See vignette about units for details. |
An instance of IsothermalGrowth()
.
## Define the simulations parameters
my_model <- "modGompertz"
my_pars <- list(logN0 = 2, C = 6, mu = .2, lambda = 25)
my_time <- seq(0, 100, length = 1000)
## Do the simulation
static_prediction <- predict_isothermal_growth(my_model, my_time, my_pars)
## Plot the results
plot(static_prediction)