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: | 0.1.4 |
| Depends: | R (≥ 2.10) |
| Imports: | nlme, parallel, stats |
| Suggests: | graphics, knitr, lattice, rmarkdown, testthat (≥ 2.1.0) |
| Published: | 2022-01-31 |
| 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_0.1.4.tar.gz |
| Windows binaries: | r-devel: NBR_0.1.4.zip, r-release: NBR_0.1.4.zip, r-oldrel: NBR_0.1.4.zip |
| macOS binaries: | r-release (arm64): NBR_0.1.4.tgz, r-oldrel (arm64): NBR_0.1.4.tgz, r-release (x86_64): NBR_0.1.4.tgz, r-oldrel (x86_64): NBR_0.1.4.tgz |
| Old sources: | NBR archive |
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