plotAGVZMS: Adversarial Group Validation of calibration based on the...

In ppernot/ErrViewLib: Library for ErrView

Adversarial Group Validation of calibration based on the fraction of validated confidence intervals of the <Z^2> statistic

Description

Adversarial Group Validation of calibration based on the fraction of validated confidence intervals of the <Z^2> statistic

Usage

plotAGVZMS(
  Z,
  popMin = 100,
  popMax = length(Z)/10,
  mZ2 = 1,
  nBoot = 1500,
  method = c("bootstrap", "stud", "auto"),
  BSmethod = c("bca", "perc", "basic"),
  nMC = 1000,
  add = FALSE,
  ylim = NULL,
  col = 6,
  verbose = FALSE,
  control = TRUE,
  colControl = 2,
  title = "",
  label = 0,
  gPars = ErrViewLib::setgPars()
)

Arguments

Z	(vector) set of z-score values to be tested
popMin	(integer) minimal bin count in an interval
popMax	(integer) maximal bin count in an interval
mZ2	(numeric) target value for <Z^2> (default '1')
nBoot	(integer) number of bootstrap replicas
method	(string) method used to estimate 95 percent CI on <Z^2>
BSmethod	(string) bootstrap variant
nMC	(integer) number of random intervals per size
add	(logical) add to previous graph ?
ylim	(vector) limits of the y axis
col	(integer) color index of main curve
verbose	(logical) print progress messages
control	(logical) estimate AGV for control sample (normal-standard)
colControl	(integer) color index of control curve
title	(string) a title to display above the plot
label	(integer) index of letter for subplot tag
gPars	(list) graphical parameters

Value

Invisibly returns a list of worst stats. Mainly used for its plotting side effect.

Examples

  uE  = sqrt(rchisq(1000, df = 4))  # Re-scale uncertainty
  E   = rnorm(uE, mean=0, sd=uE)    # Generate errors
  plotAGVZMS(E/uE, method = 'stud')

ppernot/ErrViewLib documentation built on June 1, 2024, 4:33 a.m.