get_multi_dyna_residuals {biogrowth} | R Documentation |

## Residuals of multiple dynamic predictions

### Description

Function for calculating residuals of dynamic predictions under
different conditions for the same model parameters according
to the requirements of `modFit()`

.

### Usage

```
get_multi_dyna_residuals(
this_p,
experiment_data,
known_pars,
sec_model_names,
logbase_mu = logbase_logN,
logbase_logN = 10
)
```

### Arguments

`this_p` |
named vector of model parameters |

`experiment_data` |
a nested list with the experimental data. Each entry describes
one experiment as a list with two elements: data and conditions. |

`known_pars` |
named vector of known model parameters |

`sec_model_names` |
named character vector with names of the environmental conditions and values of the secondary model (see secondary_model_data). |

`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 `modCost`

.

*biogrowth*version 1.0.4 Index]