Man pages for MendelianRandomization
Mendelian Randomization Package
| BF_dist | Generate bootstrap samples for the bootstrapping Fieller's... |
| calcium | Data on effect of calcium on fasting glucose (correlated... |
| ci_normal | Calculate confidence intervals using the normal distribution |
| ci_t | Calculate confidence intervals using the t-distribution |
| CLR-class | CLR Class |
| cML_estimate | Estimate with Regular Likelihood |
| cML_estimate_random | Estimate with Regular Likelihood Using Multiple Random Start... |
| cML_SdTheta | Standard Error of Estimated Theta |
| condFstat | Calculates conditional F-statistic for each risk factor using... |
| coursedata | Course data |
| decimals | Produce nicely rounded numbers |
| DIVW-class | DIVW Class |
| egger.bounds | Calculates confidence intervals for the MR-Egger method |
| Egger-class | Egger Class |
| getter | Applies method $ to different classes |
| het.weight | Heterogeneity-penalized weight function |
| invcov_mvmr | Generate the list of inverse of covariance matrices used in... |
| IVW-class | IVW Class |
| ldlc | Data on lipid effects on coronary artery disease... |
| loglikelihood | Calculates log-likelihood with uncorrelated variants in... |
| loglikelihoodcorrel | Calculates log-likelihood with correlated variants in... |
| loglikelihoodrhocorrel | Calculates log-likelihood with correlation from sample... |
| MaxLik-class | MaxLik Class |
| mbe_boot | Mode-based estimate (Hartwig) bootstrap function |
| mbe_est | Mode-based estimate (Hartwig) estimation function |
| model.prior | Prior weight function |
| MRAll-class | MRAll Class |
| mr_allmethods | Mendelian randomization estimation using all methods |
| mr_clr | Conditional likelihood ratio (CLR) method |
| mr_cML | Constrained maximum likelihood (cML) method |
| MRcML-class | MRcML Class |
| mr_conmix | Contamination mixture method |
| MRConMix-class | MRConMix Class |
| mr_divw | Debiased inverse-variance weighted method |
| mr_egger | MR-Egger method |
| mr_forest | Draw a forest plot of causal estimates |
| mr_funnel | Draw a funnel plot of variant-specific estimates |
| mr_hetpen | Heterogeneity-penalized method |
| MRHetPen-class | MRHetPen Class |
| mr_input | Inputting and formatting data for use in causal estimation |
| MRInput-class | MRInput Class |
| mr_ivw | Inverse-variance weighted method |
| mr_lasso | MR-Lasso method |
| MRLasso-class | MRLasso class |
| mr_loo | Leave-one-out estimates |
| mr_maxlik | Maximum-likelihood method |
| mr_mbe | Mode-based method of Hartwig |
| MRMBE-class | MRMBE Class |
| mr_median | Median-based method |
| mr_mvcML | Multivariable constrained maximum likelihood method |
| mr_mvegger | Multivariable MR-Egger method |
| mr_mvgmm | Multivariable generalized method of moments (GMM) method |
| mr_mvinput | Inputting and formatting data for use in causal estimation |
| MRMVInput-class | MRMVInput Class |
| mr_mvivw | Multivariable inverse-variance weighted method |
| mr_mvivwme | Multivariable inverse-variance weighted method with... |
| mr_mvlasso | Multivariable MR-Lasso method |
| mr_mvmedian | Multivariable median-based method |
| mr_mvpcgmm | Multivariable principal components generalized method of... |
| mr_pcgmm | Univariable principal components generalized method of... |
| mr_pivw | Penalized inverse-variance weighted method |
| mr_plot | Draw a scatter plot of the genetic associations and/or causal... |
| MVcML_SdTheta | Standard error estimate for MVMR-cML-BIC |
| MVEgger-class | MVEgger Class |
| MVGMM-class | MVGMM Class |
| MVIVW-class | MVIVW Class |
| MVIVWME-class | MVIVWME Class |
| MVLasso-class | MRMVLasso class |
| MVMedian-class | MRMVMedian class |
| MVmr_cML | MVMRcML method with Data Perturbation |
| MVMRcML-class | MVMRcML Class |
| MVmr_cML_DP | MVMRcML method with Data Perturbation |
| mv_norm | Sampling from multivariate normal distribution |
| MVPCGMM-class | MVPCGMM Class |
| PCGMM-class | PCGMM Class |
| penalised.weights | Calculates p-values for penalization of weights |
| penalised.weights.delta | Calculates p-values for penalization of weights with... |
| pheno_input | Extract summarized data from PhenoScanner |
| phenoscanner | PhenoScanner |
| PIVW-class | PIVW Class |
| pl | Profile likelihood of valid IVs |
| r.weights | Calculates p-values for penalization of weights |
| r.weights.delta | Calculates p-values for penalization of weights with... |
| simpleCap | Capitalize a word |
| values | Applies method values() to different output classes |
| weighted.median | Weighted median function |
| weighted.median.boot.se | Weighted median standard error function |
| WeightedMedian-class | WeightedMedian Class |
