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Identifies pairs of covariate values that lie too far from the original data. The function is currently a basic wrapper around mgcv::exclude.too.far().


too_far(x, y, ref_1, ref_2, dist = NULL)


x, y

numeric; vector of values of the covariates to compare with the observed data

ref_1, ref_2

numeric; vectors of covariate values that represent the reference against which x1 and x2` are compared


if supplied, a numeric vector of length 1 representing the distance from the data beyond which an observation is excluded. For example, you want to exclude values that lie further from an observation than 10% of the range of the observed data, use 0.1.


Returns a logical vector of the same length as x1.