Package: cap
Type: Package
Title: Covariate Assisted Principal (CAP) Regression for Covariance
        Matrix Outcomes
Version: 1.0
Date: 2018-09-07
Author: Yi Zhao <zhaoyi1026@gmail.com>, 
		Bingkai Wang <bwang51@jhmi.edu>, 
		Stewart Mostofsky <mostofsky@kennedykrieger.org>,
		Brian Caffo <bcaffo@gmail.com>, 
		Xi Luo <xi.rossi.luo@gmail.com> 
Maintainer: Yi Zhao <zhaoyi1026@gmail.com>
Description: Performs Covariate Assisted Principal (CAP) Regression for covariance matrix outcomes. The method identifies the optimal projection direction which maximizes the log-likelihood function of the log-linear heteroscedastic regression model in the projection space. See Zhao et al. (2018), Covariate Assisted Principal Regression for Covariance Matrix Outcomes, <doi:10.1101/425033> for details.
Depends: MASS, multigroup
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-09-26 18:36:36 UTC; yizhao
Repository: CRAN
Date/Publication: 2018-09-30 23:00:03 UTC
Built: R 4.2.0; ; 2022-04-26 12:16:04 UTC; unix
