RsqMed: Total Mediation Effect Size Measure (R-Squared Measure) under
Moderate or High-Dimensional Mediator Settings
An implementation of calculating the R-squared measure as a total mediation effect size measure and its confidence interval for moderate- or high-dimensional mediator model. It gives an option to filter out non-mediators using variable selection method. The original R package is directly related to the paper "Estimation of mediation effect for high-dimensional omics mediators with application to the Framingham Heart Study" with <doi:10.1101/774877>. The new version contains a choice of using cross-fitting, which is computationally faster.
| Version: |
0.2.1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
SIS (≥ 0.8), GMMAT (≥ 1.1.0) |
| Published: |
2022-11-07 |
| Author: |
Tianzhong Yang [aut, cre] |
| Maintainer: |
Tianzhong Yang <yang3704 at umn.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
RsqMed results |
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