Returns a one-row tibble summarizing the bootstrap run.
Usage
# S3 method for class 'bcaboot'
glance(x, ...)Arguments
- x
A
bcabootobject frombca_nonpar()orbca_par().- ...
Ignored.
Value
A tibble with columns:
- method
"nonpar"or"par"- accel
Acceleration method (
"regression","jackknife", orNA)- theta
Point estimate
- sdboot
Bootstrap standard error
- z0
Bias-correction constant
- a
Acceleration constant
- sdjack
Jackknife standard error (if available)
- B
Number of bootstrap replicates
- boot_mean
Mean of bootstrap replicates
Examples
data(diabetes, package = "bcaboot")
Xy <- cbind(diabetes$x, diabetes$y)
rfun <- function(Xy) {
y <- Xy[, 11]; X <- Xy[, 1:10]
summary(lm(y ~ X))$adj.r.squared
}
set.seed(1234)
result <- bca_nonpar(Xy, 1000, rfun, n_groups = 34, verbose = FALSE)
glance(result)
#> # A tibble: 1 × 9
#> method accel theta sdboot z0 a sdjack B boot_mean
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 nonpar regression 0.507 0.0299 -0.332 -0.0127 0.0305 1000 0.517
