sample_dynaFit {bioinactivation} | R Documentation |

## Random sample of the parameters of a FitInactivation object

### Description

Function to be called by `predict_inactivation_MCMC`

. Produces
a random sample of the parameters adjusted from dynamic experiments with non
linear regression.

### Usage

```
sample_dynaFit(dynamic_fit, times, n_simulations)
```

### Arguments

`dynamic_fit` |
An object of class |

`times` |
numeric vector specifying the time points when results are
desired. If |

`n_simulations` |
a numeric indicating how many Monte Carlo simulations to perform. |

### Details

It is assumed that the parameters follow a Multivariate Normal distribution
with the mean the parameters estimated by `modFit`

. The unscaled
covariance matrix returned by `modFit`

is used.

The function produces a random sample using the function `mvrnorm`

.

### Value

Returns a list with 4 components.

par_sample: data frame with the parameter sample.

simulation_model: model key for the simulation

known_pars: parameters of the model known

times: points where the calculation is made.

*bioinactivation*version 1.2.3 Index]