predict,ConstrainedLinReg-method

Model of class <code><a rd-options="" href="/link/ConstrainedLinReg?package=BMSC&version=0.2.1" data-mini-rdoc="BMSC::ConstrainedLinReg">ConstrainedLinReg</a></code>

object

data.frame containing all variables that appear in the model
formula

newdata

Computes prediction from model of class
<code><a rd-options="" href="/link/ConstrainedLinReg?package=BMSC&version=0.2.1" data-mini-rdoc="BMSC::ConstrainedLinReg">ConstrainedLinReg</a></code> and a data.frame.

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

predict,ConstrainedLinReg-method function

Model of class <code><a rd-options='' href='ConstrainedLinReg'>ConstrainedLinReg</a></code>

Computes prediction from model of class
<code><a rd-options='' href='ConstrainedLinReg'>ConstrainedLinReg</a></code> and a data.frame.

predict,ConstrainedLinReg-method: Compute predictions from constraint estimation model

Description

Usage

Arguments

Value