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cap  

Covariate Assisted Principal (CAP) Regression for Covariance Matrix Outcomes
View on CRAN: Click here


Download and install cap package within the R console
Install from CRAN:
install.packages("cap")

Install from Github:
library("remotes")
install_github("cran/cap")

Install by package version:
library("remotes")
install_version("cap", "1.0")



Attach the package and use:
library("cap")
Maintained by
Yi Zhao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-01
Latest Update: 2018-09-30
Description:
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.
How to cite:
Yi Zhao (2018). cap: Covariate Assisted Principal (CAP) Regression for Covariance Matrix Outcomes. R package version 1.0, https://cran.r-project.org/web/packages/cap. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0 (2018-10-01 01:00)
Other packages that cited cap R package
View cap citation profile
Other R packages that cap depends, imports, suggests or enhances
Functions, R codes and Examples using the cap R package
Some associated functions: cap-package . capReg . cap_beta . env.example . 
Some associated R codes: BC.CI.R . MatReg_QC.R . MatReg_QC_RE.R . MatReg_QC_beta.R . MatReg_QC_opt.R . MatReg_QC_opt2.R . cap-internal.R . capReg.R . cap_beta.R . diag.level.R . objfunc.R . space_sim.R .  Full cap package functions and examples
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