prepDatForPredict

formula

<p>data.frame containing all variables that appear in the model</p>

newdata

<p>Rows with missing values on predictor variables are excluded.
An unused column for the dependent variable is added to avoid errors.</p>

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

prepDatForPredict function

Exclude rows with missing data on predictor variables — prepDatForPredict

Exclude rows with missing data on predictor variables

prepDatForPredict: Exclude rows with missing data on predictor variables

Description

Usage

Arguments

Value

Details