Mendelian randomization (MR) analysis is a special case of instrumental variable analysis with genetic instruments. It is used to estimate the unconfounded causal effect of an exposure. This package implements estimating and testing methods in Zhang et al. (2019) for MR analysis in case-control studies. It (1) estimates the causal effect of a quantitative exposure by the quasi empirical likelihood approach; (2) uses Lagrange multiplier test for testing the presence of causal; (3) provides a test for the presence of confounder.
| Version: | 0.1.0 |
| Imports: | ucminf, Formula |
| Published: | 2019-01-19 |
| Author: | Han Zhang, Kai Yu |
| Maintainer: | Han Zhang <han.zhang2 at nih.gov> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | iva results |
| Reference manual: | iva.pdf |
| Package source: | iva_0.1.0.tar.gz |
| Windows binaries: | r-devel: iva_0.1.0.zip, r-release: iva_0.1.0.zip, r-oldrel: iva_0.1.0.zip |
| macOS binaries: | r-release: iva_0.1.0.tgz, r-oldrel: iva_0.1.0.tgz |
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