predict_isothermal_growth {biogrowth} R Documentation

## Isothermal microbial growth

### Description

The function predict_isothermal_growth() has been superseded by the top-level function predict_growth(), which provides a unified approach for growth modelling.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).

### Usage

predict_isothermal_growth(
model_name,
times,
model_pars,
check = TRUE,
logbase_mu = 10,
logbase_logN = 10
)


### Arguments

 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.

### Value

An instance of IsothermalGrowth().

### Examples

## 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)



[Package biogrowth version 1.0.1 Index]