One row per alternative and objective with the point estimate, the running intersection of the confidence sequence, the number of evaluations and the status of the alternative.
Usage
# S3 method for class 'paretoinfer_state'
tidy(x, ...)Examples
design <- pareto_design(alternatives = 2, objectives = 2, bounds = c(0, 1), epsilon = 0.1)
state <- initialize_pareto(design) |>
update_objectives(tibble::tibble(alternative = c("A1", "A2"),
y1 = c(0.2, 0.8), y2 = c(0.3, 0.9)))
tidy(state)
#> # A tibble: 4 × 7
#> alternative objective estimate lower upper n_evaluations status
#> <chr> <chr> <dbl> <dbl> <dbl> <int> <chr>
#> 1 A1 y1 0.2 0 1 1 uncertain
#> 2 A2 y1 0.8 0 1 1 uncertain
#> 3 A1 y2 0.3 0 1 1 uncertain
#> 4 A2 y2 0.9 0 1 1 uncertain