mc.calcLinnetCI

vector of point estimates for jackknife
 samples. The i-th element contains point estimate for
 the dataset without the 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 Jackknife confidence intervals for intercept,
slope or bias given of vector of jackknife point estimates
and global point estimate.

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.calcLinnetCI: Jackknife Confidence Interval

Description

Usage

Arguments

Value

References