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,
Maintainer: Yi Zhao < zhaoyi1026 at gmail.com >
From within R, enter citation('cfma')
To cite package 'cfma' in publications use:
Yi Zhao, Xi Luo, Martin Lindquist and Brian Caffo (2018). cfma:
Causal Functional Mediation Analysis. R package version 1.0.
A BibTeX entry for LaTeX users is
@Manual{,
title = {cfma: Causal Functional Mediation Analysis},
author = {Yi Zhao and Xi Luo and Martin Lindquist and Brian Caffo},
year = {2018},
note = {R package version 1.0},
}
If you have any problems with this package you can open a new issue or check the already existing ones here.
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 | November 26 2019 4:05PM |
Package type | standard |
Source GitHub | https://github.com/zhaoyi1026/cfma GitHub |
Neuroconductor GitHub | https://github.com/neuroconductor/cfma GitHub |