Description Usage Arguments Value
View source: R/conformal_prediction.R
Calculates the minimum coverage radius for euclidean objects as we increase the number of observations.
1 | coverage_down_1d_single(ordered_sim_df, e_cols, verbose = FALSE)
|
ordered_sim_df |
data frame of points as rows, ordered by when they should be added in the sequence |
e_cols |
character vector of column names that define locational information of points |
verbose |
boolean, if this progression should be verbose |
list of min_cover_vec (minimum at that step) and dist_mat (cumulative max per path at time step t (column))
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