model_random_walk_data {bennu} | R Documentation |

## generate model data for testing purposes

### Description

Model generating process using random walk to match data generating model in Bayesian framework

### Usage

```
model_random_walk_data(
N_t = 24,
region_coeffs = c(5, 0.5),
c_region = c(-1, 2),
sigma = 2,
zeta = 0.5,
mu0 = -1,
Orders = NULL,
reporting_freq = NULL
)
```

### Arguments

`N_t` |
number of time-points |

`region_coeffs` |
vector of coefficients for regions determining kit orders |

`c_region` |
logit probability of kit use per region |

`sigma` |
standard deviation of error in logit probability of kit use |

`zeta` |
standard deviation of random walk in logit space |

`mu0` |
initial condition of random walk in logit space |

`Orders` |
A 2D matrix of shape |

`reporting_freq` |
The frequency that distribution data is provided.
If |

### Value

A tibble

- Orders
Kit orders per time and region

- regions
Numeric index indicating region of orders and distributions

- Reported_Used
Number of kits reported as used

- Reported_Distributed
Number of kits reported as distributed

- p_use
Probability that a kit was used

- p_reported
Probability that a distributed kit was reported

- times
Index for time

- region_name
String index for the region

### See Also

Other data generation:
`generate_model_data()`

*bennu*version 0.3.0 Index]