beta_sampler {estimateW}

An R6 class for sampling slope parameters

Description

This class samples slope parameters with a Gaussian prior from the conditional posterior. Use the beta_priors class for setup.

Format

An R6Class generator object

Public fields

beta_prior

The current beta_priors

curr_beta

The current value of \beta

Methods

Public methods

• beta_sampler$new()

• beta_sampler$sample()

Method new()

Usage

beta_sampler$new(beta_prior)

Arguments

beta_prior

The list returned by beta_priors

Method sample()

Usage

beta_sampler$sample(Y, X, curr_sigma)

Arguments

Y

The N by 1 matrix of responses

X

The N by k design matrix

curr_sigma

The variance parameter \sigma^2