DynModel_results: Sample confidence interval output of dynamic functional...

In dfConn: Dynamic Functional Connectivity Analysis

Description

A sample confidence interval estimates (between pairwise regions of interest 1 and 2) coming from dynamic functional connectivity model

Usage

data(DynModel_results)

Format

A list with 5 objects:

params

Store the parameters for the linear mixed model

parallel

Store the information about parallel computing environment and parameters

output_by_row

Store the model results information for data between each pair of regions

modelDyn_results

A combined dataframe with all the model results informations

est_CI

A list of matrices, contains information of confidence band estimate, see description below.

In each matrix of est_CI:

row 1

Base line estimate, difference between condition 1 and condition 2

row 2

Dynamic functional connecvity estimates for condition 1

row 3

Dynamic functional connecvity estimates for condition 2

row 4

Lower bound of 95% confidence interval of condition-difference estimates

row 5

Upper bound of 95% confidence interval of condition-difference estimates

row 6

Lower bound of 95% confidence interval of condition-1 estimates

row 7

Upper bound of 95% confidence interval of condition-1 estimates

row 8

Lower bound of 95% confidence interval of condition-2 estimates

row 9

Upper bound of 95% confidence interval of condition-2 estimates

dfConn documentation built on June 14, 2019, 1:02 a.m.