DensParcorr: Dens-Based Method for Partial Correlation Estimation in Large Scale Brain Networks
Version 1.0

Provide a Dens-based method for estimating functional connection in large scale brain networks using partial correlation.

AuthorYikai Wang, Jian Kang, Phebe Brenne Kemmer and Ying Guo
Date of publication2016-04-09 09:39:02
MaintainerYikai Wang <yikai.wang@emory.edu>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("DensParcorr")

Popular man pages

DensParcorr: Conduct the Dens-Based approach for partial correlation...
prec2dens: Calculate Dens value from Precision Matrix
prec2part: Calculate Partial Correlation Matrix from Precision Matrix
See all...

All man pages Function index File listing

Man pages

DensParcorr: Conduct the Dens-Based approach for partial correlation...
prec2dens: Calculate Dens value from Precision Matrix
prec2part: Calculate Partial Correlation Matrix from Precision Matrix

Functions

DensParcorr Man page Source code
prec2dens Man page Source code
prec2part Man page Source code

Files

NAMESPACE
R
R/DensParcorr.R
R/prec2part.R
R/prec2dens.R
MD5
DESCRIPTION
man
man/prec2dens.Rd
man/prec2part.Rd
man/DensParcorr.Rd
DensParcorr documentation built on May 20, 2017, 2:23 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.