cap
Covariate Assisted Principal (CAP) Regression for Covariance Matrix Outcomes
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,
- Version1.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release09/30/2018
Team
Yi Zhao
Bingkai Wang
Stewart Mostofsky
Brian Caffo
Xi Luo
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- Depends2 packages