mc.paba: Passing-Bablok Regression

In mcr: Method Comparison Regression

Passing-Bablok Regression

Description

Passing-Bablok Regression

Usage

mc.paba(
  angM = NULL,
  X,
  Y,
  alpha = 0.05,
  posCor = TRUE,
  calcCI = TRUE,
  slope.measure = c("radian", "tangent")
)

Arguments

angM	upper triangular matrix of slopes for all point combinations (optional). Slopes in radian.
X	measurement values of reference method
Y	measurement values of test method
alpha	numeric value specifying the 100(1-alpha)% confidence level
posCor	should algorithm assume positive correlation, i.e. symmetry around slope 1?
calcCI	should confidence intervals be computed?
slope.measure	angular measure of pairwise slopes (see mcreg for details). "radian" - for data sets with even sample numbers median slope is calculated as average of two central slope angles. "tangent" - for data sets with even sample numbers median slope is calculated as average of two central slopes (tan(angle)).

Value

Matrix of estimates and confidence intervals for intercept and slope. No standard errors provided by this algorithm.

mcr documentation built on Oct. 11, 2023, 5:14 p.m.