Package: macc 1.0.1

Yi Zhao

macc: Mediation Analysis of Causality under Confounding

Performs causal mediation analysis under confounding or correlated errors. This package includes a single level mediation model, a two-level mediation model, and a three-level mediation model for data with hierarchical structures. Under the two/three-level mediation model, the correlation parameter is identifiable and is estimated based on a hierarchical-likelihood, a marginal-likelihood or a two-stage method. See Zhao, Y., & Luo, X. (2014), Estimating Mediation Effects under Correlated Errors with an Application to fMRI, <arxiv:1410.7217> for details.

Authors:Yi Zhao <[email protected]>, Xi Luo <[email protected]>

macc_1.0.1.tar.gz
macc_1.0.1.tar.gz(r-4.5-noble)macc_1.0.1.tar.gz(r-4.4-noble)
macc_1.0.1.tgz(r-4.4-emscripten)macc_1.0.1.tgz(r-4.3-emscripten)
macc.pdf |macc.html✨
macc/json (API)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.00 score 61 dependencies 6 scripts 129 downloads

Last updated 7 years agofrom:18846160c4. Checks:OK: 2. Indexed: yes.

Exports:maccsim.data.multisim.data.single

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivoptimxpbkrtestpillarpkgconfigpracmapurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr