mc.calcTstar {mcrPioda}

Compute Resampling T-statistic.

Description

Compute Resampling T-statistic. for Calculation of t-Bootstrap Confidence Intervals.

Usage

mc.calcTstar(
  .Object,
  x.levels,
  iter.max = 30,
  threshold = 1e-06,
  kM = 1.345,
  tauMM = 4.685,
  priorSlope = 1,
  priorIntercept = 0,
  bdPoint = 0.5
)

Arguments

.Object

object of class "MCResultResampling".

x.levels

a numeric vector of clinical decision points of interest.

iter.max

maximal number of iterations for calculation of weighted Deming regression.

threshold

threshold for calculation of weighted Deming regression.

kM

Huber's k for the M weighting, default kM = 1.345

tauMM

Tukey's tau for bisquare redescending weighting function, default tauMM = 4,685

priorSlope

starting slope value for PiMMDeming, default priorSlope = 1

priorIntercept

starting intercept value for PiMMDeming, default priorIntercept = 0

bdPoint

Proportion of data points selected for the highly robust M regression used for the determination of the starting parameters. Default 0.5

Value

Tstar numeric vector containing resampling pivot statistic.

References

Carpenter J., Bithell J. Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians. Stat Med, 19 (9), 1141-1164 (2000).