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 NBR-LME |
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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