popsimB

<p>A dataset containing values of 10 interested
variables of 10 subjects over 50 periods.</p>

datasets

A statistical tool to inference the multi-level partial correlations based on multi-subject time series data, especially for brain functional connectivity. It combines both individual and population level inference by using  the methods of Qiu and Zhou. (2021)<DOI: 10.1080/01621459.2021.1917417> and Genovese and Wasserman. (2006)<DOI: 10.1198/016214506000000339>. It realizes two reliable estimation methods of partial correlation coefficients, using scaled lasso and lasso. It can be used to estimate individual- or population-level partial correlations, identify nonzero ones, and find out unequal partial correlation coefficients between two populations.

Yunhaonan Yang

BrainCon

Inference the Partial Correlations Based on Time Series Data

Peng Wu

Xin Gai

Yumou Qiu

Xiaohua Zhou

popsimB function

<p>An object of class <code>array</code> of dimension 50 x 10 x 10.</p>

Format

Simulation time series data for population B — popsimB

Simulation time series data for population B

popsimB: Simulation time series data for population B

Description

Usage

Arguments

Format

See Also