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NBR: Network-Based R-Statistics using Mixed Effects Models

An implementation of network-based statistics in R using mixed effects models. Theoretical background for Network-Based Statistics can be found in Zalesky et al. (2010) <doi:10.1016/j.neuroimage.2010.06.041>. For Mixed Effects Models check the R package <https://CRAN.R-project.org/package=nlme>.

Version:0.1.5
Depends:R (≥ 2.10)
Imports:nlme, parallel, stats
Suggests:graphics,knitr,lattice,rmarkdown,testthat (≥ 2.1.0)
Published:2022-10-03
DOI:10.32614/CRAN.package.NBR
Author:Zeus Gracia-Tabuenca [aut, cre], Sarael Alcauter [aut]
Maintainer:Zeus Gracia-Tabuenca <zgtabuenca at comunidad.unam.mx>
License:GPL (≥ 3)
NeedsCompilation:no
Language:en-US
Citation:NBR citation info
Materials:README
CRAN checks:NBR results

Documentation:

Reference manual:NBR.html ,NBR.pdf
Vignettes:NBR-LM (source,R code)
NBR-LME (source,R code)

Downloads:

Package source: NBR_0.1.5.tar.gz
Windows binaries: r-devel:NBR_0.1.5.zip, r-release:NBR_0.1.5.zip, r-oldrel:NBR_0.1.5.zip
macOS binaries: r-release (arm64):NBR_0.1.5.tgz, r-oldrel (arm64):NBR_0.1.5.tgz, r-release (x86_64):NBR_0.1.5.tgz, r-oldrel (x86_64):NBR_0.1.5.tgz
Old sources: NBR archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=NBRto link to this page.


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