me: Design Matrix for Measurement Error Model

In MCMCglmm: MCMC Generalised Linear Mixed Models

Design Matrix for Measurement Error Model

Description

Sets up design matrix for measurement error models.

Usage

me(formula, error=NULL, group=NULL, type="classical")

Arguments

formula	formula for the fixed effects.
error	character; name of column in data.frame in which standard error (type="classical" or type="berkson") or miscalssification error (type="dclassical") is stored.
group	name of column in data.frame in which groups are stored. Rows of the design matrix with the same group level are assumed to pertain to the same obsevation of the covariate that is measured with error.
type	character; one of type="classical", type="berkson", type="dclassical" or type="dberkson" (see details)

Value

design matrix, with a prior distribution attribute

Author(s)

Jarrod Hadfield [e-mail]

MCMCglmm documentation built on July 9, 2023, 5:24 p.m.