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


Reference manual: NBR.pdf
Vignettes: NBR-LM


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


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