# Package cap details

##### 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, for details.

Maintainer: Yi Zhao < zhaoyi1026 at gmail.com >

##### From within R, enter citation('cap')

If you have any problems with this package you can open a new issue or check the already existing ones here.

Versions(Pending - no previous version)

##### To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# Default Install
neuro_install('cap')

# from GitHub
neuro_install('cap', release = "stable", release_repo = "github")
neuro_install('cap', release = "current", release_repo = "github")

More detailed installation instructions can be found here.

 Initially submitted on October 1 2018 1:26PM Last updated on March 31 2021 10:00AM Package type standard Source GitHub https://github.com/zhaoyi1026/cap Neuroconductor GitHub https://github.com/neuroconductor/cap Depends MASS, multigroup