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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.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:

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