createFormulaInternal

formula

object returned by <code><a rd-options="base" href="/link/all.vars?package=BMSC&version=0.2.1&to=base" data-mini-rdoc="base::all.vars">all.vars</a></code>

allVars

maxExponent

interactionDepth

intercept

Create formula with interactions and polynomials if all checks in
<code><a rd-options="" href="/link/createFormula?package=BMSC&version=0.2.1" data-mini-rdoc="BMSC::createFormula">createFormula</a></code> have passed

A Bayesian regression package supporting constrained coefficient estimation and
variable selection using Stan. This includes a robust variable selection
algorithm by a horseshoe prior (<doi:10.1093/biomet/asq017>) that finds the optimal model considering main effects,
interactions as well as powers of given variables under potential parameter constraints.

Marcus Gross

BMSC

Bayesian Model Selection under Constraints

Marcus Gro<c3><9f>

Ricardo Fernandes

Mira Celine Klein

createFormulaInternal function

object returned by <code><a rd-options='base' href='all.vars'>all.vars</a></code>

Create formula with interactions and polynomials if all checks in
<code><a rd-options='' href='createFormula'>createFormula</a></code> have passed

Create formula with interactions and polynomials if all checks in
<code><a rd-options='' href='createFormula'>createFormula</a></code> have passed — createFormulaInternal

Create formula with interactions and polynomials if all checks in
<code><a rd-options='' href='createFormula'>createFormula</a></code> have passed

Create formula with interactions and polynomials if all checks in
<code><a rd-options="" href="/link/createFormula?package=BMSC&version=0.2.1" data-mini-rdoc="BMSC::createFormula">createFormula</a></code> have passed

createFormulaInternal: Create formula with interactions and polynomials if all checks in `createFormula` have passed

Description

Usage

Arguments