latent_to_iwishart: Transform latent variables to Inverse Wishart

In finnlindgren/multiprobit: Bayesian Multivariate Probit Regression

Description

Transform latent iid N(0,1) to Inverse Wishart matrices

Transforms an Inverse Wishart matrix to latent iid N(0,1) variables

Usage

latent_to_iwishart(x, V_chol, df, lower_chol = FALSE)

latent_from_iwishart(W_chol, V_chol, df, lower_chol = FALSE)

Arguments

x	A vector of latent variables identifying the Inverse Wishart matrix, length d(d+1)/2
V_chol	Transposed inverse of the Cholesky factor of the Inverse Wishart V parameter
df	The Wishart degrees of freedom
lower_chol	TRUE if lower triangular Cholesky factors are used (default = FALSE)
W_chol	The Cholesky factor of the Inverse Wishart matrix

Value

A list with components

W_chol	The Cholesky factor of the Inverse Wishart matrix
B_chol	The inner Cholesky factor of the inverse Barlett decomposition

When lower_chol is FALSE, W_chol is B_chol \%*\% V_chol, otherwise V_chol \%*\% B_chol.

A list with components

x	A vector of latent variables identifying the Wishart matrix, length d(d+1)/2
B_chol	The inner Cholesky factor of the inverse Barlett decomposition

Note

This is an internal non-exported function

This is an internal non-exported function

Author(s)

Finn Lindgren

Finn Lindgren

Examples

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## Not run: 
if (interactive()) {
  # EXAMPLE1
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finnlindgren/multiprobit documentation built on June 20, 2020, 6:12 a.m.