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,
Maintainer: Yi Zhao < zhaoyi1026 at gmail.com >
From within R, enter citation('cap')
To cite package 'cap' in publications use:
Yi Zhao, Bingkai Wang, Stewart Mostofsky, Brian Caffo and Xi Luo
(2018). cap: Covariate Assisted Principal (CAP) Regression for
Covariance Matrix Outcomes. R package version 1.0.
A BibTeX entry for LaTeX users is
@Manual{,
title = {cap: Covariate Assisted Principal (CAP) Regression for Covariance Matrix Outcomes},
author = {Yi Zhao and Bingkai Wang and Stewart Mostofsky and Brian Caffo and Xi Luo},
year = {2018},
note = {R package version 1.0},
}
If you have any problems with this package you can open a new issue or check the already existing ones here.
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 | October 15 2020 2:50PM |
Package type | standard |
Source GitHub | https://github.com/zhaoyi1026/cap GitHub |
Neuroconductor GitHub | https://github.com/neuroconductor/cap GitHub |