Creates a tibble with degree, expected kinship coefficient, and inference boundaries.
Rows will be created up to the max_degree, with an additional row for any
relationship more distant than max_degree. The degree value for the final
row will be NA. This represents inference criteria for "unrelated"
individuals. See examples.
dibble(max_degree = 3L)The most distant degree you want to measure (usually between 3-9, default 3).
A tibble containing the degree, expected kinship coefficient (k),
lower (l) and upper (u) inference bounds.
dibble(3)
#> # A tibble: 5 × 4
#> degree k l u
#> <int> <dbl> <dbl> <dbl>
#> 1 0 0.5 0.354 1
#> 2 1 0.25 0.177 0.354
#> 3 2 0.125 0.0884 0.177
#> 4 3 0.0625 0.0442 0.0884
#> 5 NA 0 -1 0.0442
dibble(10)
#> Warning: max_degree should be <10
#> # A tibble: 12 × 4
#> degree k l u
#> <int> <dbl> <dbl> <dbl>
#> 1 0 0.5 0.354 1
#> 2 1 0.25 0.177 0.354
#> 3 2 0.125 0.0884 0.177
#> 4 3 0.0625 0.0442 0.0884
#> 5 4 0.0312 0.0221 0.0442
#> 6 5 0.0156 0.0110 0.0221
#> 7 6 0.00781 0.00552 0.0110
#> 8 7 0.00391 0.00276 0.00552
#> 9 8 0.00195 0.00138 0.00276
#> 10 9 0.000977 0.000691 0.00138
#> 11 10 0.000488 0.000345 0.000691
#> 12 NA 0 -1 0.000345