Returns a truncation distribution formatted for usage by
downstream functions. See `estimate_truncation()`

for an approach to
estimate these distributions.

## Usage

`trunc_opts(dist = Fixed(0), tolerance = 0.001, weight_prior = FALSE)`

## Arguments

- dist
A delay distribution or series of delay distributions reflecting the truncation. It can be specified using the probability distributions interface in

`EpiNow2`

(See`?EpiNow2::Distributions`

) or estimated using`estimate_truncation()`

, which returns a`dist`

object, suited for use here out-of-box. Default is a fixed distribution with maximum 0, i.e. no truncation.- tolerance
Numeric; the desired tolerance level.

- weight_prior
Logical; if TRUE, the truncation prior will be weighted by the number of observation data points, in doing so approximately placing an independent prior at each time step and usually preventing the posteriors from shifting. If FALSE (default), no weight will be applied, i.e. the truncation distribution will be treated as a single parameter.

## Examples

```
# no truncation
trunc_opts()
#> - fixed value:
#> 0
# truncation dist
trunc_opts(dist = LogNormal(mean = 3, sd = 2, max = 10))
#> - lognormal distribution (max: 10):
#> meanlog:
#> 0.91
#> sdlog:
#> 0.61
```