print.ConstrainedLinReg

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

arguments passed from or to other methods

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

print.ConstrainedLinReg function

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

print.ConstrainedLinReg: Print constraint estimation model

Description

Usage

Arguments