Calculate log priors

```
logpriors(
params,
covar = FALSE,
alpha_mean = -10,
alpha_sd = 0.5,
beta_shape = 2,
beta_scale = 2,
gamma_shape = 2,
gamma_scale = 2
)
```

- params
Vector of parameters: \(\alpha\), \(\beta\) and \(\gamma\)

- covar
logical: Should the covariate inflormation be used? default: False

- alpha_mean
prior for the mean of alpha

- alpha_sd
prior for the standard deviation of alpha

- beta_shape
prior for the shape (gamma distibution) of beta

- beta_scale
prior for the scale of beta

- gamma_shape
prior for the shape (gamma distibution) of gamma

- gamma_scale
prior for the scale of gamma

log priors