Get land to land prediction based on bullet to bullet comparisons — bullet_to_land

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.

Usage

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.