Package: cfma 1.0.1

cfma: 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, <arxiv:1805.06923> for details.

Authors:Yi Zhao <[email protected]>, Xi Luo <[email protected]>, Martin Lindquist <[email protected]>, Brian Caffo <[email protected]>

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cfma.pdf |cfma.html✨
cfma/json (API)

# Install 'cfma' in R:
install.packages('cfma', repos = c('https://zhaoyi1026.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/zhaoyi1026/cfma/issues

Datasets:
  • env.concurrent - Simulated data from the concurrent mediation model
  • env.historical - Simulated data from the historical influence mediation model

On CRAN:

3.00 score 2 stars 8 scripts 152 downloads 6 exports 0 dependencies

Last updated 5 years agofrom:c092cbe460. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winNOTENov 01 2024
R-4.5-linuxNOTENov 01 2024
R-4.4-winNOTENov 01 2024
R-4.4-macNOTENov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:FMA.concurrentFMA.concurrent.bootFMA.concurrent.CVFMA.historicalFMA.historical.bootFMA.historical.CV

Dependencies: