get_hyperparams_init: Hyper-parameters specification function

In yanbowisc/SIMP: Bayesian Simultaneous Partial Envelope Model

Hyper-parameters specification function

Description

either generating a set of hyper-parameters for un-informative priors, or passing a set of user-specified hyper-parameters to SIMP() function.

Usage

get_hyperparams_init(pc, pd, p2, r, dx, dy, ...)

Arguments

pc	Dimension of X1C, the continuous part of the predictors of interest.
pd	Dimension of X1D, the discrete part of the predictors of interest.
p2	Dimension of X2, predictors of not main interest.
r	Dimension of response Y.
dx	Partial predictor envelope dimension of SIMP.
dy	Partial response envelope dimension of SIMP.
...	Input for the user-specified hyper-parameters.

Examples

## Not run: 
library(SIMP)
pd = 8; pd = 2; p2 = 2; r = 8; dx = 1; dy = 1
hp <- get_hyperparams_init(pc, pd, p2, r, dx, dy)

## End(Not run)

yanbowisc/SIMP documentation built on Oct. 30, 2022, 1:33 a.m.