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, <doi:10.1101/425033> for details.

Package details

AuthorYi Zhao <[email protected]>, Bingkai Wang <[email protected]>, Stewart Mostofsky <[email protected]>, Brian Caffo <[email protected]>, Xi Luo <[email protected]>
MaintainerYi Zhao <[email protected]>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("cap")

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cap documentation built on May 2, 2019, 3:31 p.m.