terms.stanmvreg

terms method for stanmvreg objects

internal

Estimates previously compiled regression models using the 'rstan'
package, which provides the R interface to the Stan C++ library for Bayesian
estimation. Users specify models via the customary R syntax with a formula and
data.frame plus some additional arguments for priors.

Ben Goodrich

rstanarm

Bayesian Applied Regression Modeling via Stan

Jonah Gabry

Imad Ali

Sam Brilleman

Jacqueline Buros Novik

AstraZeneca 

Trustees of Columbia University

Simon Wood

R Core Deveopment Team

Douglas Bates

Martin Maechler

Ben Bolker

Steve Walker

Brian Ripley

William Venables

Paul-Christian Burkner

terms.stanmvreg function

<dl><dt>x, fixed.only, random.only, ...</dt>
<dd>See lme4:::terms.merMod.</dd>
<dt>m</dt>
<dd>Integer specifying the number or name of the submodel</dd></dl>

Arguments

terms method for stanmvreg objects — terms.stanmvreg

<dl>

<dt>x, fixed.only, random.only, ...</dt>
<dd>See lme4:::terms.merMod.</dd>


<dt>m</dt>
<dd>Integer specifying the number or name of the submodel</dd>

</dl>

terms method for stanmvreg objects

terms.stanmvreg: terms method for stanmvreg objects

Description

Usage

Arguments