nmat: Convert Covariance Matrix to a Correlation Matrix

In bayesm: Bayesian Inference for Marketing/Micro-Econometrics

Convert Covariance Matrix to a Correlation Matrix

Description

nmat converts a covariance matrix (stored as a vector, col by col) to a correlation matrix (also stored as a vector).

Usage

nmat(vec)

Arguments

vec	k x k Cov matrix stored as a k*k x 1 vector (col by col)

Details

This routine is often used with apply to convert an R x (k*k) array of covariance MCMC draws to correlations. As in corrdraws = apply(vardraws, 1, nmat).

Value

k*k x 1 vector with correlation matrix

Warning

This routine is a utility routine that does not check the input arguments for proper dimensions and type.

Author(s)

Peter Rossi, Anderson School, UCLA, [e-mail].

Examples

set.seed(66)
X = matrix(rnorm(200,4), ncol=2)
Varmat = var(X)
nmat(as.vector(Varmat))

bayesm documentation built on Sept. 24, 2023, 1:07 a.m.