dat.QIL3: An example for hierarchical modeling used in Fong, Wakefield,...

In nCal: Nonlinear Calibration

Description

An example for hierarchical modeling used in Fong, Wakefield, De Rosa, Frahm (2012)

Format

A data frame with 120 observations on the following 13 variables.

well

a character vector. Well identifier on a microplate.

assay_id

a character vector. Assay identifier.

analyte

a character vector. Substance to be measured.

well_role

a character vector. Defines the role of a well. See ?ncal for more information.

beadct

a numeric vector. Number of beads in the well, specific to multiplex bead array assay.

dilution

a numeric vector. The dilution factor of a sample.

expected_conc

a numeric vector. The expected concentrations of a sample.

fi

a numeric vector. Fluoresence intensity readout.

ptid

a integer vector. Participant ID.

sample_id

a Boolean vector. All NA.

thawdt

a character vector. All empty string

visit

a integer vector. All NA.

replicate

a numeric vector. Techinical replicate identifier.

References

Fong, Y., Wakefield, J., DeRosa, S., Frahm, N. (2012) A robust Bayesian random effects model for nonlinear calibration problems, Biometrics, 68:1103-1112.

nCal documentation built on Sept. 13, 2021, 5:08 p.m.