Passing-Bablok Regression
mc.paba(angM, X, Y, alpha = 0.05, posCor = TRUE, calcCI = TRUE,
slope.measure = c("radian", "tangent"))
upper triangular matrix of slopes for all point combinations. Slopes in radian.
measurement values of reference method
measurement values of test method
numeric value specifying the 100(1-alpha) confidence level
should algorithm assume positive correlation, i.e. symmetry around slope 1?
should confidence intervals be computed?
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)).
Matrix of estimates and confidence intervals for intercept and slope. No standard errors provided by this algorithm.