bcaplot: Plots of bca confidence limits

In bnaras/bcaboot: Bias Corrected Bootstrap Confidence Intervals

Description

bcaplot uses the output of bcajack, bcajack2, or bcapar to plot bca and standard confidence limits for the parameter of interest.

Usage

bcaplot(
  vl,
  main = " ",
  xlab = "coverage",
  ylab = "limits",
  alpha = c(0.025, 0.05, 0.1, 0.16),
  ylim,
  xlim,
  add = 0,
  sub = "black=bca, green=standard",
  sw = 1,
  ...
)

Arguments

vl	output of bcajack, bcajack2, or bcapar
main	The main caption (can be empty)
xlab	The x axis label (supplied if not specified)
ylab	The y axis labels (supplied if not specified)
alpha	Coverages are 1-2α, e.g. alpha=c(.025,.05) plots intervals [.025,.975] and [.05,.95]. Default is alpha=c(.025,.05,.1,.16) giving coverages .95,.90,.80,.68
ylim	y axis plot limits set automatically if not provided
xlim	x axis plot limits set automatically if not provided
add	add=1 adds a new plot of bca limits (in red) to an existing plot
sub	subtitle (can be empty)
sw	sw=1 draws light vertical dashed lines showing the bca intervals
...	further args for plot

Details

confidence interval endpoints are plotted vertically versus two-sided coverages 1-2α. Bca limits in black, Standard limits in green (dashed.). If vl$lims includes the column "jacksd" of jackknife internal standard deviations then these are indicated by vertical red bars centered at the bca limit points.

bnaras/bcaboot documentation built on May 12, 2021, 11:56 p.m.