`R/bullet-scores.R`

`bullet_to_land_predict.Rd`

The combination of `land1` and `land2` are a key to the scores, i.e. if a bullet has six lands, each of the input vectors should have length 36.

```
bullet_to_land_predict(
land1,
land2,
scores,
difference,
alpha = 0.05,
addNA = FALSE
)
```

- land1
(numeric) vector with land ids of bullet 1

- land2
(numeric) vector with land ids of bullet 2

- scores
numeric vector of scores to be summarized into a single number

- difference
numeric value describing the minimal difference between scores from same source versus different sources.

- alpha
numeric value describing the significance level for the bootstrap

- addNA
how are missing values treated? addNA = TRUE leaves missing values, addNA=FALSE imputes with 0.

numeric vector of binary prediction whether two lands are same-source. Vector has the same length as the input vectors.