haloloha.blogg.se - Glm permute vector swizzle

individ_contrib: Approaches to estimate individual network contribution.

import_scn: Import data for structural connectivity analysis.

glm_stats: Extract model fit statistics from a bg_GLM object.

glm_model_select: Model selection for bg_GLM objects.

glm_info: Extract basic information from a bg_GLM object.

glm_influence: Influence measures for a bg_GLM object.

glm_helpers: Helper functions to set-up for GLM analyses.

glm_graph_plots: Plot a graph with results from GLM-based analyses.

glm_fit: Fit design matrices to one or multiple outcomes.

glm_design: Create a design matrix for linear model analysis.

glm_brainGraphList: Create a graph list with GLM-specific attributes.

glm: Fit General Linear Models at each vertex of a graph.

get_rand_attrs: Convenience function to get attributes for lists of random.

efficiency: Calculate graph global, local, or nodal efficiency.

edge_asymmetry: Calculate an asymmetry index based on edge counts.

dir2files: Return a vector of filenames based on a directory name or.delete_all_attr: Delete all attributes of a graph.data_tables: Create a data table with graph global and vertex measures.create_mats: Create connection matrices for tractography or fMRI data.count_edges: Count number of edges of a brain graph.correlation_matrices: Calculate correlation matrix and threshold.: Calculate the p-value for differences in correlation.contract_brainGraph: Contract graph vertices based on brain lobe and hemisphere.

communicability: Calculate communicability.coeff_var: Calculate coefficient of variation.choose.edges: Select edges for re-wiring.check_attributes: Check for vertex or edge attributes.centr_lev: Calculate a vertex's leverage centrality.centr_betw_comm: Calculate communicability betweenness centrality.brainGraph_permute: Permutation test for group difference of graph measures.brainGraph-methods: brainGraph generic methods.brainGraphList: Create a list of brainGraph graphs.brainGraph: Default options for brainGraph.brain_atlases: Coordinates for data from brain atlases.Bootstrapping: Bootstrapping for global graph measures.auc_diff: Difference in the area-under-the-curve of two vectors.attributes: Set graph, vertex, and edge attributes common in MRI analyses.apply_thresholds: Threshold additional set of matrices.