distribution_to_logcount {biogrowth} | R Documentation |

## Distribution of times to reach a certain microbial count

### Description

The function `distribution_to_logcount()`

has been superseded by
function `time_to_size()`

, which provides more general interface.

Returns the probability distribution of the storage time required for
the microbial count to reach `log_count`

according to the predictions of
a stochastic `model`

.
Calculations are done using linear interpolation of the individual
model predictions.

### Usage

```
distribution_to_logcount(model, log_count)
```

### Arguments

`model` |
An instance of |

`log_count` |
The target microbial count. |

### Value

An instance of `TimeDistribution()`

.

### Examples

```
## We need an instance of StochasticGrowth
my_model <- "modGompertz"
my_times <- seq(0, 30, length = 100)
n_sims <- 3000
library(tibble)
pars <- tribble(
~par, ~mean, ~sd, ~scale,
"logN0", 0, .2, "original",
"mu", 2, .3, "sqrt",
"lambda", 4, .4, "sqrt",
"C", 6, .5, "original"
)
stoc_growth <- predict_stochastic_growth(my_model, my_times, n_sims, pars)
```

[Package

*biogrowth*version 1.0.4 Index]