Functional Multivariable Mendelian Randomization
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Documentation for package ‘mvfmr’ version 0.1.0
- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
Help Pages
| mvfmr-package | mvfmr: Multivariable Functional Mendelian Randomization |
| AUTOMATIC_Multi_FMVMR_twosample_simple | Two-sample joint multivariable FMR (internal) |
| cf_logit | Control function for logit model |
| fmvmr_separate_twosample | Two-Sample Separate Univariable Functional MR |
| fmvmr_twosample | Two-Sample Joint Multivariable Functional MR |
| getX_multi_exposure | Generate multi-exposure data with genetic instruments |
| getX_multi_exposure_mediation | Generate multi-exposure mediation data with genetic instruments |
| getY_multi_exposure | Generate outcome from exposures |
| gmm_lm_onesample | GMM estimation for continuous outcome |
| gmm_twosample_simple | Two-sample GMM |
| IS | Calculate F-statistics and Q-statistic for instrument strength (internal) |
| mvfmr | Joint Multivariable Functional Mendelian Randomization |
| mvfmr_separate | Separate Univariable Functional Mendelian Randomization |
| Separate_Multi_FMVMR_twosample_simple | Separate univariable two-sample FMR (internal) |
| _PACKAGE | mvfmr: Multivariable Functional Mendelian Randomization |