Package cfma details

Causal Functional Mediation Analysis

Performs causal functional mediation analysis (CFMA) for functional treatment, functional mediator, and functional outcome. This package includes two functional mediation model types: (1) a concurrent mediation model and (2) a historical influence mediation model. See Zhao et al. (2018), Functional Mediation Analysis with an Application to Functional Magnetic Resonance Imaging Data, for details.

Maintainer: Yi Zhao < zhaoyi1026 at gmail.com >

Documentation

 
From within R, enter citation('cfma')

 

If you have any problems with this package you can open a new issue or check the already existing ones here.

 
  Versions(Pending - no previous version)
 
To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# Default Install
neuro_install('cfma')

# from GitHub
neuro_install('cfma', release = "stable", release_repo = "github")
neuro_install('cfma', release = "current", release_repo = "github")

More detailed installation instructions can be found here.

 

Initially submitted on September 27 2018 12:38PM
Last updated on March 31 2021 10:00AM
Package type standard
Source GitHub https://github.com/zhaoyi1026/cfma GitHub
Neuroconductor GitHub https://github.com/neuroconductor/cfma GitHub
DependsR (2.10)