corvec2mat

Convert from correlations in vector form to a correlation matrix

Inference methods for factor copula models for continuous data in Krupskii and Joe (2013) <doi:10.1016/j.jmva.2013.05.001>, Krupskii and Joe (2015) <doi:10.1016/j.jmva.2014.11.002>, Fan and Joe (2024) <doi:10.1016/j.jmva.2023.105263>, one factor truncated vine models in Joe (2018) <doi:10.1002/cjs.11481>, and Gaussian oblique factor models. Functions for computing tail-weighted dependence measures in Lee, Joe and Krupskii (2018) <doi:10.1080/10485252.2017.1407414> and estimating tail dependence parameter.

Pavel Krupskii

FactorCopulaModel

Factor Copula Models

Harry Joe

Xinyao Fan

Allan Macleod

Robert Gentleman

Ross Ihaka

corvec2mat function

<dl><dt>rvec</dt>
<dd>correlations in vector form of length d*(d-1)/2 in the order r12,r13,r23,r14,... r[d-1,d]</dd></dl>

Arguments

Convert from correlations in vector form to a correlation matrix — corvec2mat

<dl>

<dt>rvec</dt>
<dd>correlations in vector form of length d*(d-1)/2 in the order r12,r13,r23,r14,... r[d-1,d]</dd>

</dl>

corvec2mat: Convert from correlations in vector form to a correlation matrix

Description

Usage

Value

Arguments

Examples