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has been superseded by the top-level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)
```

*biogrowth*version 1.0.4 Index]