cvine {mpower} | R Documentation |
Citation: Daniel Lewandowski, Dorota Kurowicka, Harry Joe, Generating random correlation matrices based on vines and extended onion method, Journal of Multivariate Analysis, Volume 100, Issue 9, 2009, Pages 1989-2001, ISSN 0047-259X, https://doi.org/10.1016/j.jmva.2009.04.008.
Description
Citation: Daniel Lewandowski, Dorota Kurowicka, Harry Joe, Generating random correlation matrices based on vines and extended onion method, Journal of Multivariate Analysis, Volume 100, Issue 9, 2009, Pages 1989-2001, ISSN 0047-259X, https://doi.org/10.1016/j.jmva.2009.04.008.
Usage
cvine(d, alpha = 10, beta = 10, S = NULL, m = 100)
Arguments
d |
Number of dimension |
alpha |
Parameter for Beta distribution |
beta |
Parameter for Beta distribution |
S |
A 'guess' of the correlation matrix |
m |
A number that indicates how much the random matrices vary from S |
Value
A random positive-definite correlation matrix
[Package mpower version 0.1.0 Index]