The ranked selection table from a sweep

The ranked selection table from a sweep

Usage

selection_table(x, converged_only = TRUE)

Arguments

x

A dsfit_sweep from sweep_models().

converged_only

Drop models that failed to fit. Default TRUE.

Value

A tibble, sorted by AIC, with model_id, key, adjustment, order, formula, converged, n_par, aic, delta_aic, p, p_se, p_cv, esw, and a goodness-of-fit p-value in cvm_p (exact distances) or chisq_p (binned).

See also

sweep_models()

Examples

set.seed(1)
d <- data.frame(object = 1:150, distance = abs(rnorm(150, 0, 100)))
d <- d[d$distance < 300, ]
selection_table(sweep_models(d, truncation = 300, quiet = TRUE))
#> # A tibble: 2 × 15
#>   model_id key   adjustment order formula converged n_par   aic delta_aic     p
#>   <chr>    <chr> <chr>      <int> <chr>   <lgl>     <dbl> <dbl>     <dbl> <dbl>
#> 1 hn       hn    NA            NA ~1      TRUE          1 1570.      0    0.378
#> 2 hr       hr    NA            NA ~1      TRUE          2 1574.      4.47 0.388
#> # ℹ 5 more variables: p_se <dbl>, p_cv <dbl>, esw <dbl>, cvm_p <dbl>,
#> #   chisq_p <dbl>