Other packages > Find by keyword >

brainGraph  

Graph Theory Analysis of Brain MRI Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("brainGraph", "3.1.0")



Attach the package and use:
library("brainGraph")
Maintained by
Christopher G. Watson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-09
Latest Update: 2020-09-29
Description:
A set of tools for performing graph theory analysis of brain MRI data. It works with data from a Freesurfer analysis (cortical thickness, volumes, local gyrification index, surface area), diffusion tensor tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from DPABI). It contains a graphical user interface for graph visualization and data exploration, along with several functions for generating useful figures.
How to cite:
Christopher G. Watson (2015). brainGraph: Graph Theory Analysis of Brain MRI Data. R package version 3.1.0, https://cran.r-project.org/web/packages/brainGraph. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.48.0 (2015-12-09 21:44), 0.55.0 (2015-12-24 08:19), 0.62.0 (2016-04-23 08:39), 0.72.0 (2016-10-10 18:18), 1.0.0 (2017-04-10 15:06), 2.0.0 (2018-02-06 05:22), 2.0.2 (2018-02-23 23:37), 2.2.0 (2018-05-29 06:59), 2.7.2 (2019-11-06 16:10), 2.7.3 (2019-11-07 14:40), 3.0.0 (2020-09-29 19:50)
Other packages that cited brainGraph R package
View brainGraph citation profile
Other R packages that brainGraph depends, imports, suggests or enhances
Complete documentation for brainGraph
Functions, R codes and Examples using the brainGraph R package
Some associated functions: Bootstrapping . NBS . apply_thresholds . atlas_helpers . attributes . auc_diff . brainGraph-methods . brainGraph . brainGraphList . brainGraph_permute . brain_atlases . centr_betw_comm . centr_lev . check_attributes . choose.edges . coeff_var . communicability . contract_brainGraph . cor.diff.test . correlation_matrices . count_edges . create_mats . data_tables . delete_all_attr . dir2files . edge_asymmetry . efficiency . get_rand_attrs . glm . glm_brainGraphList . glm_design . glm_fit . glm_graph_plots . glm_helpers . glm_influence . glm_info . glm_model_select . glm_stats . hubness . import_scn . individ_contrib . inverse . make_auc_brainGraph . make_brainGraph . make_ego_brainGraph . make_intersection_brainGraph . matrix_utils . mean_distance_wt . mediation . mtpc . pad_zeros . plot.brainGraph . plot.brainGraphList . plot_brainGraph_gui . plot_brainGraph_multi . plot_global . plot_rich_norm . plot_vertex_measures . plot_volumetric . random_graphs . randomise . rename_levels . residuals . rich_club . rich_club_attrs . robustness . s_core . set_graph_colors . small.world . spatial_dist . subset_graph . update_fs_names . utils . vertex_roles . vif.bg_GLM . vulnerability . write_brainnet . 
Some associated R codes: NBS.R . analysis_random_graphs.R . atlas.R . auc.R . boot_global.R . brainGraph_GLM.R . brainGraph_mediate.R . centr_lev.R . communicability.R . contract_brainGraph.R . corr_matrix.R . count_edges.R . create_graphs.R . create_mats.R . data.R . data_tables.R . distances.R . edge_asymmetry.R . get_resid.R . glm_design.R . glm_fit.R . glm_methods.R . glm_randomise.R . glm_stats.R . graph_efficiency.R . hubs.R . import.R . individ_contrib.R . list.R . method_helpers.R . methods.R . mtpc.R . permute_group.R . plot_brainGraph.R . plot_brainGraph_gui.R . plot_brainGraph_multi.R . plot_global.R . plot_group_means.R . plot_rich_norm.R . plot_vertex_measures.R . random_graphs.R . rich_club.R . robustness.R . s_core.R . set_brainGraph_attributes.R . small_world.R . spatial_dist.R . update_brainGraph_gui.R . utils.R . utils_matrix.R . vertex_roles.R . vulnerability.R . write_brainnet.R . zzz.R .  Full brainGraph package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA