cap (1.0)

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Covariate Assisted Principal (CAP) Regression for Covariance Matrix Outcomes.

http://cran.r-project.org/web/packages/cap

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, for details.

Maintainer: Yi Zhao
Author(s): 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>

License: GPL (>= 2)

Uses: MASS, multigroup

Released over 1 year ago.


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