mc.calc.bca

vector of point estimates for bootstrap
 samples. The i-th element contains point estimate of the
 i-th bootstrap sample.

Xboot

vector of point estimates for jackknife
 samples. The i-th element contains point estimate of the
 dataset without i-th observation.

Xjack

point estimate for the complete data set
 (scalar).

xhat

numeric value specifying the 100(1-alpha)%
 confidence level for the confidence interval (Default is
 0.05).

alpha

Calculate resampling BCa confidence intervals for
intercept, slope or bias given a vector of bootstrap and
jackknife point estimates.

This package provides regression methods to quantify the relation between two measurement methods. In particular it addresses regression problems with errors in both variables and without repeated measurements. The package provides implementations of Deming regression, weighted Deming regression, and Passing-Bablok regression following the CLSI EP09-A3 recommendations for analytical method comparison and bias estimation using patient samples.

mc.calc.bca: Bias Corrected and Accelerated Resampling Confidence Interval

Description

Usage

Arguments

Value

References