<code><a rd-options="" href="/link/formula?package=MCMCglmm&version=2.29" data-mini-rdoc="MCMCglmm::formula">formula</a></code> for the fixed effects.

formula

character; name of column in <code><a rd-options="" href="/link/data.frame?package=MCMCglmm&version=2.29" data-mini-rdoc="MCMCglmm::data.frame">data.frame</a></code> in which standard error (<code>type="classical"</code> or <code>type="berkson"</code>) or miscalssification error (<code>type="dclassical"</code>) is stored.

error

name of column in <code><a rd-options="" href="/link/data.frame?package=MCMCglmm&version=2.29" data-mini-rdoc="MCMCglmm::data.frame">data.frame</a></code> in which groups are stored. Rows of the design matrix with the same <code>group</code> level are assumed to pertain to the same obsevation of the covariate that is measured with error.

group

character; one of <code>type="classical"</code>, <code>type="berkson"</code>, <code>type="dclassical"</code> or <code>type="dberkson"</code> (see details)

type

Sets up design matrix for measurement error models.

models

Jarrod Hadfield

MCMCglmm

MCMC Generalised Linear Mixed Models

me function

<code><a rd-options='' href='formula'>formula</a></code> for the fixed effects.

character; name of column in <code><a rd-options='' href='data.frame'>data.frame</a></code> in which standard error (<code>type="classical"</code> or <code>type="berkson"</code>) or miscalssification error (<code>type="dclassical"</code>) is stored.

name of column in <code><a rd-options='' href='data.frame'>data.frame</a></code> in which groups are stored. Rows of the design matrix with the same <code>group</code> level are assumed to pertain to the same obsevation of the covariate that is measured with error.

me: Design Matrix for Measurement Error Model

Description

Usage

Arguments

Value