glycHem

<p>This data gives the glycated hemoglobin measured in 20 patients.</p>

datasets

Regression methods to quantify the relation
between two measurement methods are provided by this package. The
focus is on a Bayesian Deming regressions family. With a Bayesian
method the Deming regression can be run in a traditional fashion or
can be run in a robust way just decreasing the degree of freedom
d.f. of the sampling distribution. With d.f. = 1 an extremely robust
Cauchy distribution can be sampled. Moreover, models for dealing
with heteroscedastic data are also provided. For reference see
G. Pioda (2024) <https://piodag.github.io/bd1/>.

Giorgio Pioda

rstanbdp

Bayesian Deming Regression for Method Comparison

glycHem function

<p>A data frame with 20 observations on the following 2 variables.</p>

glycHem: Method comparison of glycated hemoglobin measurement

Description

Usage

Arguments

Format