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NBR  

Network-Based R-Statistics using Mixed Effects Models
View on CRAN: Click here


Download and install NBR package within the R console
Install from CRAN:
install.packages("NBR")

Install from Github:
library("remotes")
install_github("cran/NBR")

Install by package version:
library("remotes")
install_version("NBR", "0.1.5")



Attach the package and use:
library("NBR")
Maintained by
Zeus Gracia-Tabuenca
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-26
Latest Update: 2022-10-03
Description:
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) . For Mixed Effects Models check the R package .
How to cite:
Zeus Gracia-Tabuenca (2020). NBR: Network-Based R-Statistics using Mixed Effects Models. R package version 0.1.5, https://cran.r-project.org/web/packages/NBR. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.2 (2020-03-26 18:00), 0.1.3 (2020-08-03 00:30), 0.1.4 (2022-01-31 16:10)
Other packages that cited NBR R package
View NBR citation profile
Other R packages that NBR depends, imports, suggests or enhances
Complete documentation for NBR
Functions, R codes and Examples using the NBR R package
Some associated functions: edge_lm . frontal2D . nbr_lm . nbr_lm_aov . nbr_lme . nbr_lme_aov . voles . 
Some associated R codes: edge_lm.R . frontal2D.R . nbr_lm.R . nbr_lm_aov.R . nbr_lme.R . nbr_lme_aov.R . voles.R .  Full NBR package functions and examples
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