Calculate Risk for Custom Duration

For duration-dependent activities, finds the nearest pre-computed duration bucket across all variants of an activity family and returns the aggregated risk.

Usage

risk_for_duration(
  activity_prefix,
  duration_hours,
  profile = list(),
  risks = NULL
)

Arguments

activity_prefix

Character. Activity family prefix (e.g., "flying" matches flying_2h, flying_5h, flying_8h, flying_12h). Also accepts a full activity_id.

duration_hours

Numeric. Desired duration in hours.

profile

A named list of condition variables.

risks

Optional pre-computed atomic_risks() tibble.

Value

A tibble with one row per component at the nearest duration bucket, plus summary columns.

See also

risk_components(), common_risks()

Examples

risk_for_duration("flying", duration_hours = 7)
#> # A tibble: 1 × 6
#>   activity      activity_id hedgeable_pct micromorts n_components duration_hours
#>   <chr>         <chr>               <dbl>      <dbl>        <int>          <dbl>
#> 1 Flying (8h l… flying_8h            64.1        3.9            3              8
risk_for_duration("flying", duration_hours = 3)
#> # A tibble: 1 × 6
#>   activity      activity_id hedgeable_pct micromorts n_components duration_hours
#>   <chr>         <chr>               <dbl>      <dbl>        <int>          <dbl>
#> 1 Flying (2h s… flying_2h               0        1.1            3              2