update.sigma.alpha.coef: update.sigma.alpha.coef

In matthiasspeidel/hmi: Hierarchical Multiple Imputation

Description

It updates the random effects covarariance matrix by drawing from a Wishart distribution.

It updates the random effects covarariance matrix by drawing from a Wishart distribution.

Usage

## S3 method for class 'sigma.alpha.coef'
update(hyper.df1, hyper.df2, alpha.new)

## S3 method for class 'sigma.alpha.coef'
update(hyper.df1, hyper.df2, alpha.new)

Arguments

hyper.df1	A vector of numeric hyper parameters
hyper.df2	A matrix of hyper parameters.
alpha.new	A matrix of cluster specific random effects.
hyper.df1	A vector of numeric hyper parameters
hyper.df2	A matrix of hyper parameters.
alpha.new	A matrix of cluster specific random effects.

Value

It returns a matrix with a new random effects covarariance matrix.

It returns a matrix with a new random effects covarariance matrix.

matthiasspeidel/hmi documentation built on Aug. 18, 2020, 4:37 p.m.